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1

Design of Nonlinear PID (Proportional-Integral-Derivative) Controllers,  

Science.gov (United States)

A family of linearizations is derived for a certain class of nonlinear systems using design by extended linearization. Attention is focused on a particular case: the design of nonlinear proportional integral derivative (PID) controllers based upon a param...

W. J. Rugh

1987-01-01

2

BF-PSO optimized PID Controller design using ISE, IAE, IATE and MSE error criteria  

Directory of Open Access Journals (Sweden)

Full Text Available A PID controller is designed using ISE, IAE, ITAE and MSE error criteria for stable linear time invariant continuous system. A BF-PSO PID controller is designed for the plant to meet the desired performance specifications by using BF-PSO optimization algorithm. PID controller gain parameters Kp,Ki,Kd are designed and applied to the PID controller system .The PID controller closed loop response is observed for ISE, IAE, IATE and MSE error criteria. A comparison of system performance observed for all four criteria.

Yogendra Kumar Soni , Rajesh Bhatt

2013-01-01

3

CAS algorithm-based optimum design of PID controller in AVR system  

International Nuclear Information System (INIS)

This paper presents a novel design method for determining the optimal PID controller parameters of an automatic voltage regulator (AVR) system using the chaotic ant swarm (CAS) algorithm. In the tuning process of parameters, the CAS algorithm is iterated to give the optimal parameters of the PID controller based on the fitness theory, where the position vector of each ant in the CAS algorithm corresponds to the parameter vector of the PID controller. The proposed CAS-PID controllers can ensure better control system performance with respect to the reference input in comparison with GA-PID controllers. Numerical simulations are provided to verify the effectiveness and feasibility of PID controller based on CAS algorithm.

1008-01-00

4

CAS algorithm-based optimum design of PID controller in AVR system  

Energy Technology Data Exchange (ETDEWEB)

This paper presents a novel design method for determining the optimal PID controller parameters of an automatic voltage regulator (AVR) system using the chaotic ant swarm (CAS) algorithm. In the tuning process of parameters, the CAS algorithm is iterated to give the optimal parameters of the PID controller based on the fitness theory, where the position vector of each ant in the CAS algorithm corresponds to the parameter vector of the PID controller. The proposed CAS-PID controllers can ensure better control system performance with respect to the reference input in comparison with GA-PID controllers. Numerical simulations are provided to verify the effectiveness and feasibility of PID controller based on CAS algorithm.

Zhu Hui [Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, P.O. Box 145, Beijing 100876 (China); Key Laboratory of Network and Information Attack and Defence Technology of Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876 (China); National Engineering Laboratory for Disaster Backup and Recovery, Beijing 100876 (China)], E-mail: zhuhui05608@hotmail.com; Li Lixiang; Zhao Ying; Guo Yu; Yang Yixian [Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, P.O. Box 145, Beijing 100876 (China); Key Laboratory of Network and Information Attack and Defence Technology of Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876 (China); National Engineering Laboratory for Disaster Backup and Recovery, Beijing 100876 (China)

2009-10-30

5

A Methodology to Design FPGA-based PID Controllers  

Digital Repository Infrastructure Vision for European Research (DRIVER)

This paper presents a methodology to implement PID (Proportional, Integral, Derivative) controllers in FPGAs (Field-Programmable Gate Arrays) using fixed-point numerical representation. The Matlab/Simulink environment is used for modeling, simulation and evaluation the performance provided by differ...

Lima, João M. G.; Menotti, Ricardo; Cardoso, João M. P.; Marques, Eduardo

6

A design method of compensators for multi-variable control system with PID controllers 'CHARLY'  

International Nuclear Information System (INIS)

A systematic design method of compensators for a multi-variable control system having usual PID controllers in its loops is presented in this paper. The method itself is able: to determine the main manipulating variable corresponding to each controlled variable with a sensitivity analysis in the frequency domain. to tune PID controllers sufficiently to realize adequate control actions with a searching technique of minimum values of cost functionals. to design compensators improving the control preformance and to simulate a total system for confirming the designed compensators. In the phase of compensator design, the state variable feed-back gain is obtained by means of the OPTIMAL REGULATOR THEORY for the composite system of plant and PID controllers. The transfer function type compensators the configurations of which were previously given are, then, designed to approximate the frequency responces of the above mentioned state feed-back system. An example is illustrated for convenience. (author).

1985-01-01

7

Direct Drive Electro-hydraulic Servo Control System Design with Self-Tuning Fuzzy PID Controller  

Directory of Open Access Journals (Sweden)

Full Text Available According to the nonlinear and time-varying uncertainty characteristics of direct drive electro-hydraulic servo control system, a self-tuning fuzzy PID control method with speed change integral and differential ahead optimizing operator is put forward by combining fuzzy inference and traditional PID control in this paper.The rule of fuzzy logic is designed, the membership function of the fuzzy subsets is determined and lookup table method is used to correcte the PID parameters in real-time. Finally the simulation is conducted with the typical input signal, such as tracking step, sine etc. The simulation results show that?the self-tuning fuzzy PID control system can effectively improve the dynamic characteristic when the system is out of the range of the operating point compared with the traditional PID control system, there is obvious improvement in the indexes of rapidity, stability and accuracy,  and fuzzy self-tuning PID Control is more robust, and more suitable for direct drive electro-hydraulic servo system.

Wang Yeqin

2013-01-01

8

Design of the Glass Batching-Material System Based Fuzzy-PID Combined Control  

Directory of Open Access Journals (Sweden)

Full Text Available According to the traditional control methods of batching-material system exists defects low precision and bad real-time, this paper has proposed the combined control algorithm. This paper has designed a Fuzzy-PID control Glass batching-material system by using of combining the traditional PID and the Fuzzy control algorithm. The system uses expert system of online learning and adjusts automatically the control parameters, realize the best combination controlling precision and speed. The actual operation result of the system has proved the feasibility and validity of the Fuzzy-PID combined control.    

Zhisong Hou; Yanchang Liu; Qigao Feng

2013-01-01

9

Designing and Simulation for Vertical Moving Control of UAV System using PID, LQR and Fuzzy logic  

Directory of Open Access Journals (Sweden)

Full Text Available This paper presents the Designing and simulation for Vertical Moving Control of UAV (unmanned air vehicles) system using Proportional-Integral-Derivative (PID) control method, Linear Quadratic Regulator (LQR) control method and Fuzzy logic control technique. The UAV system pose a challenger control problem that in it precise model of system is non-linear. The conventional PID controller, the Linear Quadratic Controller (LQR), Fuzzy Logic Controller (FLC) and self-tuning fuzzy PID Controller are designed based on the dynamic modeling of the system is derived from a suitable mathematical model to describe the vertical motion of a UAV. Simulation results in Matlab and Simulink show that by using self-tuning Fuzzy PID, the performance of Vertical moving control system is improved significantly compared to Other controllers.

Mohamad Reza Rahimi Khoygani; Saeide Hajighasemi; Davoud Sanaei

2013-01-01

10

Design of Adaptive Fuzzy PID Controller for Speed control of BLDC Motor  

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Full Text Available Brushless DC motors (BLDCM) are widely used for many industrial applications because of their high efficiency, high torque and low volume. This paper proposed an improved Adaptive Fuzzy PID controller to control speed of BLDCM. This paper provides an overview of performance conventional PID controller, Fuzzy PID controller and Adaptive Fuzzy PID controller. It is difficult to tune the parameters and get satisfied control characteristics by using normal conventional PID controller. As the Adaptive Fuzzy has the ability to satisfied control characteristics and it is easy for computing. The experimental results verify that a Adaptive Fuzzy PID controller has better control performance than the both Fuzzy PID controller and conventional PID controller. The modeling, control and simulation of the BLDC motor have been done using the software package MATLAB/SIMULINK.

R. Kandiban; R. Arulmozhiyal

2012-01-01

11

Robust PID control design for permanent magnet synchronous motor: A genetic approach  

Energy Technology Data Exchange (ETDEWEB)

In this paper, a robust PID control scheme is proposed for the permanent magnet synchronous motor (PMSM) using a genetic searching approach. Genetic algorithms (GAs) are powerful searching algorithms based on the mechanics of natural selection and natural genetics. Based on a simple genetic algorithm, a set of PID parameters can be obtained such that the robust stability for the closed-loop system is guaranteed, the tracking performance is minimized subject to certain related cost function, and the disturbance rejection ability (H{sub {infinity}} performance) subject to a prescribed attenuation level can also be achieved. Numerical solutions of the PID parameters constrained by three different objectives and simulation results are provided to illustrate the design procedure and the expected performances. Finally, the proposed PID control scheme for the PMSM is implemented by a DSP-based fully digital controller. From the experimental results, the performances can be achieved using the proposed PID control scheme. In opposition to trial and error, the PID parameters can be obtained systematically in this study. The proposed method is simple and is suitable for practical control design in the motor drive. (author)

Jan, Rong-Maw; Tseng, Chung-Shi; Liu, Ren-Jun [Department of Electrical Engineering, Ming Hsin University of Science and Technology, Hsin-Feng 30401 (China)

2008-07-15

12

A DESIGN OF ROBUST PID CONTROLLER FOR NON-MINIMUM NETWORK CONTROL SYSTEM  

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Full Text Available We have designed a robust PID controller for controlling the delay induced in the Network control system (NCS).A robust PID controller for a Non –Minimum phase system subjected to uncertain delay is presented here. The previous achievements are extended to the Non –Minimum phase plant containing an uncertain delay time with specifications in terms of gain and phase. Controller design to meet the gain phase margin specifications have been demonstrated in the literature [4, 6].Synthesis and analysis presented in this paper, is an extension procedure in [1, 3]. The paper presents optimization in tuning controllers for varying time delay system using simulation. The simulation results show the effectiveness of this compensation method.

Dewashri Pansari; Balram Timande; Deepali Chandrakar

2012-01-01

13

A Design of a PID Self-Tuning Controller Using LabVIEW  

Digital Repository Infrastructure Vision for European Research (DRIVER)

In this paper a trial has been made to design a simple self-tuning LabVIEW-based PID controller. The controller uses an open-loop relay test, calculates the tuned parameters in an open loop mode of operation before it updates controller parameters and runs the process as a closed-loop system. The co...

Mohammad A. K. Alia; Tariq M. Younes; Shibel Al Subah

14

Designing a Robust and Adaptive PID Controller for Gas Turbine Connected to the Generator  

Directory of Open Access Journals (Sweden)

Full Text Available Gas turbines are increasingly spread throughout the world to provide mechanical and electrical power in consumer and industrial sections. To ensure an accurate control process temperature of gas turbine with no extortionary operator involvement, a proper controller is required. Load frequency control of gas turbine is also regulates the power flow between different areas while holding the frequency constant. The main idea in this study is to assemble these 2 controllers in a unit work; the area of robust control has grown to be one of the wealthy in terms of algorithms, design techniques, analytical tools and modifications. Several books and papers already exist on the topics of parameter estimation and adaptive control. In The proposed approach, a robust and evolutionary based Proportional, Integral, Derivative (PID) is utilized to control frequency-response and a robust evolutionary based Proportional, Integral (PI) is utilized to control temperature. The evolutionary algorithm is used to make an optimal Proportional-Integral-Derivative (PID) controller Tuning parameters. The new robust PID controller is compared with a normal classic controller (Ziegler-Nichols) designed by the method.

Mohsen Khalilpour; Khalil Valipour; Hossein Shayeghi; Navid Razmjooy

2013-01-01

15

Analytical Design of PID Decoupling Control for TITO Processes with Time Delays  

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Full Text Available Based on unit feedback closed-loop control structure, a simple analytical design method of decoupling controller matrix is proposed in terms of idea of coupling matrix for two-input-two-output (TITO) processes with time delays in chemical and industrial practice. By means of powerful robustness of two degree-of-freedom PID Desired Dynamic Equation (DDE) method, PID decoupling controller is analytically designed. And the Monte-Carlo stochastic experiment is introduced to analyze performance robustness of the controller. The most important merit of the proposed method is that for the nominal system the output of each channel can be decoupled entirely. Moreover, the decoupling matrix is simple and easily realized. Finally, illustrative simulation examples are included to demonstrate the remarkable superiority of the proposed method.

Zengrong Hu; Donghai Li; Jing Wang; Feng Xue

2011-01-01

16

Design of Intelligent Hydraulic Excavator Control System Based on PID Method  

Science.gov (United States)

Most of the domestic designed hydraulic excavators adopt the constant power design method and set 85%~90% of engine power as the hydraulic system adoption power, it causes high energy loss due to mismatching of power between the engine and the pump. While the variation of the rotational speed of engine could sense the power shift of the load, it provides a new method to adjust the power matching between engine and pump through engine speed. Based on negative flux hydraulic system, an intelligent hydraulic excavator control system was designed based on rotational speed sensing method to improve energy efficiency. The control system was consisted of engine control module, pump power adjusted module, engine idle module and system fault diagnosis module. Special PLC with CAN bus was used to acquired the sensors and adjusts the pump absorption power according to load variation. Four energy saving control strategies with constant power method were employed to improve the fuel utilization. Three power modes (H, S and L mode) were designed to meet different working status; Auto idle function was employed to save energy through two work status detected pressure switches, 1300rpm was setting as the idle speed according to the engine consumption fuel curve. Transient overload function was designed for deep digging within short time without spending extra fuel. An increasing PID method was employed to realize power matching between engine and pump, the rotational speed's variation was taken as the PID algorithm's input; the current of proportional valve of variable displacement pump was the PID's output. The result indicated that the auto idle could decrease fuel consumption by 33.33% compared to work in maximum speed of H mode, the PID control method could take full use of maximum engine power at each power mode and keep the engine speed at stable range. Application of rotational speed sensing method provides a reliable method to improve the excavator's energy efficiency and realize power match between pump and engine.

Zhang, Jun; Jiao, Shengjie; Liao, Xiaoming; Yin, Penglong; Wang, Yulin; Si, Kuimao; Zhang, Yi; Gu, Hairong

17

Dynamic PID loop control  

International Nuclear Information System (INIS)

The Horizontal Test Stand (HTS) SRF Cavity and Cryomodule 1 (CM1) of eight 9-cell, 1.3GHz SRF cavities are operating at Fermilab. For the cryogenic control system, how to hold liquid level constant in the cryostat by regulation of its Joule-Thompson JT-valve is very important after cryostat cool down to 2.0 K. The 72-cell cryostat liquid level response generally takes a long time delay after regulating its JT-valve; therefore, typical PID control loop should result in some cryostat parameter oscillations. This paper presents a type of PID parameter self-optimal and Time-Delay control method used to reduce cryogenic system parameters oscillation.

2011-01-01

18

Dynamic PID loop control  

Energy Technology Data Exchange (ETDEWEB)

The Horizontal Test Stand (HTS) SRF Cavity and Cryomodule 1 (CM1) of eight 9-cell, 1.3GHz SRF cavities are operating at Fermilab. For the cryogenic control system, how to hold liquid level constant in the cryostat by regulation of its Joule-Thompson JT-valve is very important after cryostat cool down to 2.0 K. The 72-cell cryostat liquid level response generally takes a long time delay after regulating its JT-valve; therefore, typical PID control loop should result in some cryostat parameter oscillations. This paper presents a type of PID parameter self-optimal and Time-Delay control method used to reduce cryogenic system parameters oscillation.

Pei, L.; Klebaner, A.; Theilacker, J.; Soyars, W.; Martinez, A.; Bossert, R.; DeGraff, B.; Darve, C.; /Fermilab

2011-06-01

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Greenhouse irrigation control system design based on ZigBee and fuzzy PID technology  

Science.gov (United States)

In order to achieve the water demand information accurately detect of the greenhouse crop and its precision irrigation automatic control, this article has designed a set of the irrigated control system based on ZigBee and fuzzy PID technology, which composed by the soil water potential sensor, CC2530F256 wireless microprocessor, IAR Embedded Workbench software development platform. And the time of Irrigation as the output .while the amount of soil water potential and crop growth cycle as the input. The article depended on Greenhouse-grown Jatropha to verify the object, the results show that the system can irrigate timely and appropriately according to the soil water potential and water demend of the different stages of Jatropha growth , which basically meet the design requirements. Therefore, the system has broad application prospects in the amount of greenhouse crop of fine control irrigation.

Zhou, Bing; Yang, Qiliang; Liu, Kenan; Li, Peiqing; Zhang, Jing; Wang, Qijian

20

GA-optimized feedforward-PID tracking control for a rugged electrohydraulic system design.  

UK PubMed Central (United Kingdom)

Rugged electrohydraulic systems are preferred for remote and harsh applications. Despite the low bandwidth, large deadband and flow nonlinearities in proportional valves valve and highly nonlinear friction in industry-grade cylinders that comprise rugged systems, their maintenance are much easier than very sophisticated and delicate servocontrol and servocylinder systems. With the target of making the easily maintainable system to perform comparably to a servosystem, a feedforward control has been designed here for compensating the nonlinearities. A PID feedback of the piston displacement has been employed in tandem for absorbing the unmodeled effects. All the controller parameters have been optimized by a real-coded genetic algorithm. The agreement between the achieved real-time responses for step and sinusoidal demands with those achieved by modern servosystems clearly establishes the acceptability of the controller design.

Sarkar BK; Mandal P; Saha R; Mookherjee S; Sanyal D

2013-08-01

 
 
 
 
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Design of FPGA-based All Digital PID Controller for Dynamic Systems  

Directory of Open Access Journals (Sweden)

Full Text Available In this paper implementation of All digital PID controller using Field Programmable Gate array (FPGA) ispresented. Nowadays embedded control applications requires low power and fast acting PID controllers with a closed loop performance using less resources, resulting in cost reduction. In digital PID controller error signal is generated by using comparator which is analog in nature. By using ADC it is converted in to digital. Digital output of FPGA is converted in to analog signal to drive any system using DAC, but potential output ripple in the baseline system due to quantization and other related errors. There is no need to use ADC or DAC in ADPID. The controller algorithm is synthesized, simulated using Xilinx Spartan3e XC3S100E board with XilinxISE 10.1i as a tool.

VIPUL B. PATEL; VIRENDRA SINGH; RAVI H.ACHARYA

2013-01-01

22

Adjustment of PID control parameters  

Directory of Open Access Journals (Sweden)

Full Text Available Methods are presented for the adjustment of PID control parameters, so that the loop transfer function, the sensitivity transfer function or the complementary sensitivity transfer function is tuned to a prescribed amplitude and phase.

David Di Ruscio

1992-01-01

23

A GA-based PID active queue management control design for TCP/IP networks  

Science.gov (United States)

In this paper, a genetic algorithm-based (GA-based) proportional-integral-derivative (PID) controller as an active queue manager for Internet routers is proposed to reduce packet loss and improve network utilization in TCP/IP networks. Based on the window-based nonlinear dynamics, the TCP network was modeled as a time-delayed system with a saturated input due to the limitations of packet-dropping probability and the effects of propagation delays in TCP networks. An improved genetic algorithm is employed to derive optimal or near optimal PID control gains such that a performance index of integrated-absolute error (IAE) in terms of the error between the router queue length and the desired queue length is minimized. The performance of the proposed control scheme was evaluated in various network scenarios via a series of numerical simulations. The simulation results confirm that the proposed scheme outperforms other AQM schemes.

Kuo, H.-H.; Chen, C.-K.; Yan, J.-J.; Liao, T.-L.

2008-02-01

24

A GA-based PID active queue management control design for TCP/IP networks  

Energy Technology Data Exchange (ETDEWEB)

In this paper, a genetic algorithm-based (GA-based) proportional-integral-derivative (PID) controller as an active queue manager for Internet routers is proposed to reduce packet loss and improve network utilization in TCP/IP networks. Based on the window-based nonlinear dynamics, the TCP network was modeled as a time-delayed system with a saturated input due to the limitations of packet-dropping probability and the effects of propagation delays in TCP networks. An improved genetic algorithm is employed to derive optimal or near optimal PID control gains such that a performance index of integrated-absolute error (IAE) in terms of the error between the router queue length and the desired queue length is minimized. The performance of the proposed control scheme was evaluated in various network scenarios via a series of numerical simulations. The simulation results confirm that the proposed scheme outperforms other AQM schemes.

Kuo, H-H; Chen, C-K; Liao, T-L [Department of Engineering Science, National Cheng Kung University, Tainan 701, Taiwan (China); Yan, J-J [Department of Computer and Communication, Shu-Te University, Kaohsiung 824, Taiwan (China)], E-mail: tlliao@mail.ncku.edu.tw

2008-02-15

25

Design and Implementation of Fuzzy Position Control System for Tracking Applications and Performance Comparison with Conventional PID  

Directory of Open Access Journals (Sweden)

Full Text Available This paper was written to demonstrate importance of a fuzzy logic controller in act over conventional methods with the help of an experimental model. Also, an efficient simulation model for fuzzy logic controlled DC motor drives using Matlab/Simulink is presented. The design and real-time implementation on a microcontroller presented. The scope of this paper is to apply direct digital control technique in position control system. Two types of controller namely PID and fuzzy logic controller will be used to control the output response. The performance of the designed fuzzy and classic PID position controllers for DC motor is compared and investigated. Digital signal Microcontroller ATMega16 is also tested to control the position of DC motor. Finally, the result shows that the fuzzy logic approach has minimum overshoot, and minimum transient and steady state parameters, which shows the more effectiveness and efficiency of FLC than conventional PID model to control the position of the motor. Conventional controllers have poorer performances due to the non-linear features of DC motors like saturation and friction.

Nader Jamali Soufi Amlashi

2012-01-01

26

PID control of gas pipelines  

Energy Technology Data Exchange (ETDEWEB)

The use of low cost digital controllers for pipeline control is increasing as the reliability and cost improves. In pipeline applications, the proportional, integral, and derivative (PID) controller algorithm is often used. However, the unique problems associated with pipeline operation have caused manufacturers to modify the basic control algorithms. Features such as set point ramping, built in pressure control, freeze on input error, and high and low output limits help assure safe and predictable pipeline operation.

Coltharp, B.; Bergmann, J. [Baker CAC, Kingwood, TX (United States)

1996-09-01

27

Constant Force Feedback Controller Design Using PID-Like Fuzzy Technique for Tapping Mode Atomic Force Microscopes  

Directory of Open Access Journals (Sweden)

Full Text Available A novel constant force feedback mechanism based on fuzzy logic for tapping mode Atomic Force Microscopes (AFM) is proposed in this paper. A mathematical model for characterizing the cantilever-sample interaction subsystem which is nonlinear and contains large uncertainty is first developed. Then, a PID-like fuzzy controller, combing a PD-like fuzzy controller and a PI controller, is designed to regulate the controller efforts and schedule the applied voltage of the Z-axis of the piezoelectric tube scanner to maintain a constant tip-sample interaction force during sample-scanning. Using the PID-like fuzzy controller allows the cantilever tip to track sample surface rapidly and accurately even though the topography of the surface is arbitrary and not given in advance. This rapid tracking response facilitates us to observe samples with high aspect ratio micro structures accurately and quickly. Besides, the overshoot which will result in tip crash in commercial AFMs with a traditional PID controller could be avoided. Additionally, the controller efforts can be intelligently scheduled by using the fuzzy logic. Thus, continuous manual gain-tuning by trial and error such as those in commercial AFMs is alleviated. In final, computer simulations and experimental verifications are provided to demonstrate the effectiveness and confirm the validity of the proposed controller.

Yuan-Jay Wang

2013-01-01

28

Design of Robust PID Controller Using Hybrid Algorithm for Reduced Order Interval System  

Directory of Open Access Journals (Sweden)

Full Text Available A system with parameter variation within bound creates interval in coefficients in the system polynomial and hence it is called as interval system. In this study, a model order reduction for linear interval system is attempted. A convergence technique is attempted to reduce the numerator polynomial. The denominator polynomial is reduced by using the methods such as retention of Markov parameter and time moments technique. A numerical approach is proposed to compute the reduced order interval model for a higher order linear time variant model. Also in this study, a novel technique using Particle Swarm assisted Bacterial Foraging Optimization (PSO-BFO) based hybrid algorithm is proposed to search the PID controller parameters such as Kp, Ki and Kd. The algorithm is to obtain the best possible PID parameters with Integral Squared Error (ISE) criterion minimization is as the objective function. Initially the controller parameters are obtained for reduced order model; then it is tested with the higher order model. A simulation is carried out to shows that the effectiveness of proposed model reduction algorithm and the controller performance. From the result it is observed that, the projected method provides enhanced performance for the interval system.

Babu Thirumalaimuthu; Pappa Natarajan

2012-01-01

29

Design a PID Controller of BLDC Motor by Using Hybrid Genetic-Immune  

Directory of Open Access Journals (Sweden)

Full Text Available In this paper hybridization between two optimization methods that are Genetic Algorithm (GA) and Artificial Immune System (AIS) is presented for determining the optimal proportional-integral derivative (PID) controller parameters, for speed control of a linear brushless DC motor. The brushless DC motor is modeled in Simulink and the Hybrid GA-AIS algorithm is implemented in MATLAB. The capability of overcoming the shortcomings of individual algorithms without losing their advantages makes the hybrid techniques superior to the stand-alone ones based on the dominant purpose of hybridization. The Hybrid GA-AIS method has superior features, stable convergence characteristic and good computational efficiency. The results that get it from hybridization are improved compares with that results can get from GA and AIS alone.  The hybrid GA-AIS consists of two processes, the first one is a genetic algorithm (GA) is typically initialized population randomly. Hybridization is faster and more accurate compare with GA AIS alone.

Mohammed Obaid Ali; S. P. Koh; K. H. Chong; Asmaa Salih Hamoodi

2011-01-01

30

Auto-tuning PID control system design method based on the generalization predictive control method in the PVC polymerization reactor; PVC jugo hannoki ni okeru ippanka yosoku sigyoho ni motozuku oto chuningu PID seigyo kei sekkeiho  

Energy Technology Data Exchange (ETDEWEB)

For the PVC polymerization reactor, it was able to cope with the dynamic characteristic change, and the implementation examined PID control system design method based on the self-tuning regulator system by the generalization predictive control method from the viewpoint of the easiness. The control method applied here is optimum technique in which the process control system has the robustness, when on-line identification was enabled on the basis of the real operation data. And, the PID gain was made to be the non-negativity by adopting the parameter adjust system with the restriction according to mapping function in system identification. From these, comparing with operation data done until now, by the simulation showed effective of this technique.(translated by NEDO)

Miura, Noriharu; Imaeda, Masao; Hashimoto, Kyoji [Tokushima University, Tokushima (Japan); Hattori, Hiyofumi; Onishi, Mitsuyoshi [Toagosei Corp., Tokyo (Japan); Wood, R.K.

1999-04-05

31

Design of a Control System for an Autonomous Vehicle Based on Adaptive-PID  

Directory of Open Access Journals (Sweden)

Full Text Available The autonomous vehicle is a mobile robot integrating multi?sensor navigation and positioning, intelligent decision making and control technology. This paper presents the control system architecture of the autonomous vehicle, called “Intelligent Pioneer”, and the path tracking and stability of motion to effectively navigate in unknown environments is discussed. In this approach, a two degree?of?freedom dynamic model is developed to formulate the path?tracking problem in state space format. For controlling the instantaneous path error, traditional controllers have difficulty in guaranteeing performance and stability over a wide range of parameter changes and disturbances. Therefore, a newly developed adaptive?PID controller will be used. By using this approach the flexibility of the vehicle control system will be increased and achieving great advantages. Throughout, we provide examples and results from Intelligent Pioneer and the autonomous vehicle using this approach competed in the 2010 and 2011 Future Challenge of China. Intelligent Pioneer finished all of the competition programmes and won first position in 2010 and third position in 2011.

Pan Zhao; Jiajia Chen; Yan Song; Xiang Tao; Tiejuan Xu; Tao Mei

2012-01-01

32

Using PLC for Custom-design of a PID/PWM Program to Control a Heater Temperature  

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Full Text Available This is a practical approach to control a continuous-time process variable (temperature) using a discrete controller (PLC) and a custom-designed software control algorithm and hardware interface, in a closed-loop system. Unlike the conventionally known technique of transforming a digital control action into a proportional analogue one by a D/A converter followed by power amplifier, the control action was formed internally by the PLC as a PID/PWM signal, which was used to trigger the power stage. This approach helped reducing the error due D/A conversion, maximized utilization of the PLC and reduced total cost. The control system is realized by utilizing the heater of the training board (RGT1), manufactured by DL-lorenzo Company and it simulates an analogue heating control system. The PLC is Siemens Simatic S7-214 model. An experimental result has shown that the control algorithm functions perfectly.

Mohammad A.K. Alia

2007-01-01

33

HIERARCHICAL FUZZY PID CONTROLLER USING GRANULAR COMPUTING FOR INVERTED PENDULUM  

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Full Text Available The inverted pendulum (IP) is among the most difficult systems to control in the field of control engineering. The process is non linear and unstable. The objective of this paper is to balance the pendulum vertically on a motor driven wagon by the use of hierarchical fuzzy PID controller. The hierarchical fuzzy PID controller divides the control system into multiple granular levels and adopts different control strategies in different granularities. We use different fuzzy controls forcoarse adjustment in the coarse granularity and adopt classical PID as fine control in the fine granularity. Then we design asupervisor which is a fuzzy controller to switch between the different fuzzy controllers and PID control smoothly

POTTEM SAI THARUN, M.J. NIGAM

2013-01-01

34

Model Reference PID Control of an Electro-hydraulic Drive  

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Full Text Available Hydraulic cranes are inherently nonlinear and contain components exhibiting strong friction, saturation, variable inertia mechanical loads, etc. The characteristics of these non-linear components are usually not known exactly as structure or parameters. For these reasons, tuning of the traditional PID controller parameters to control this system for the required performance faces a strong challenge. In this paper a new approach to design an adaptive PID control has the ability to solve the control problem of highly nonlinear systems such as the hydraulic crane was proposed. The core of the design method depends on comparing the performance of the Model Reference (MR) response with the nonlinear model response and feeding an adaptation signal to the PID control system to eliminate the error in between. It is found that the proposed MR-PID control policy provided the most consistent performance in terms of rise time and settling time regardless of the nonlinearities.

Ayman A. Aly

2012-01-01

35

A Practical Application of IMC-PID Controller in Unmanned Vehicle  

Directory of Open Access Journals (Sweden)

Full Text Available In allusion to unmanned vehicle steering control of the brushless DC motor control system, traditional PID controller parameter adjustment complex, weak ability to adapt to the environment and other issues, on the basis of the analysis of internal model control and classical PID control internal corresponding relationship, comprehensive its advantages, The design uses a brushless DC motor in the steering control system for unmanned vehicles based on the internal model PID controller ( IMC-PID) for speed. Based on the build object theoretical model, online simulation controller show that, for the design objects, based on the internal model PID controller whether the system step response or disturbance tracking control effect can reach the classic PID control requirements, also reduces the complexity and randomness of the design parameters.

Qin Gang; Song Le; Hu Ling

2013-01-01

36

Attitude Control of a Quadrotor with Optimized PID Controller  

Directory of Open Access Journals (Sweden)

Full Text Available A new approach to control, stabilization and disturbance rejection of attitude subsystem of quadrotor is presented in this article. Analytical method is used to tune conventional structure of PID controller. SISO approach is implemented for control structure to achieve desired objectives. The performance of the designed control structure is evaluated through time domain factors such as overshoot, settling time and integral error index, and robustness. A comparison is done between designed controller and back-step controller applied to main model of quadrotor. The results of simulation show the effectiveness of designed control scheme.

Hossein Bolandi; Mohammad Rezaei; Reza Mohsenipour; Hossein Nemati; S. M. Smailzadeh

2013-01-01

37

HYDRAULIC LINEAR ACTUATOR VELOCITY CONTROL USING A FEEDFORWARD-PLUS-PID CONTROL Qin Zhang  

UK PubMed Central (United Kingdom)

: A practical approach to design a feedforward-plus-proportional-integral-derivative(FPID) controller for accurate and smooth velocity control on a hydraulic linear actuator ispresented. The integrated controller consists of a feedforward loop and a PID loop. Thefeedforward loop is designed to compensate for the nonlinearity of the electrohydraulic system,including the deadband of the system and the nonlinear flow gain of the control valve. Afeedforward gain schedule determines the basic control input based on the command velocity. ThePID loop complements the feedforward control via velocity tracking error compensation. Alsopresented are comparisons of the experimental results from an open-loop feedforward controller, aconventional PID controller, and an integrated feedforward-PID (FPID) controller. In eachexperiment, the controllers were tuned to provide optimal responses. Results demonstrate that theFPID controller is capable of improving the accuracy and dynamic performanc...

Qin Zhang

38

Design PID-Like Fuzzy Controller With Minimum Rule Base and Mathematical Proposed On-line Tunable Gain: Applied to Robot Manipulator  

Directory of Open Access Journals (Sweden)

Full Text Available In this study, an on-line tunable gain model free PID-like fuzzy controller (GTFLC) is designed forthree degrees of freedom (3DOF) robot manipulator to rich the best performance. Fuzzy logiccontroller is studied because of its model free and high performance. Today, robot manipulatorsare used in unknown and unstructured environment and caused to provide sophisticated systems,therefore strong mathematical tools are used in new control methodologies to design adaptivenonlinear robust controller with acceptable performance (e.g., minimum error, good trajectory,disturbance rejection). The strategies of control robot manipulator are classified into two maingroups: classical and non-classical methods, however non linear classical theories have beenapplied successfully in many applications, but they also have some limitation. One of the mostimportant nonlinear non classical robust controller that can used in uncertainty nonlinear systems,are fuzzy logic controller. This paper is focuses on applied mathematical tunable gain method inrobust non classical method to reduce the fuzzy logic controller limitations. Therefore on-linetunable PID like fuzzy logic controller will be presented in this paper.

Farzin Piltan, N. Sulaiman, Arash Zargari, Mohammad Keshavarz & Ali Badri

2011-01-01

39

ROBUST INTERNAL MODEL CONTROL STRATEGY BASED PID CONTROLLER FOR BLDCM  

Directory of Open Access Journals (Sweden)

Full Text Available All the closed loop control system requires the controller for improvement of transient response of the error signal. Though the tuning of PID controller in real time is bit difficult and moreover it lacks the disturbance rejection capability. This paper presents a tuning of PID parameters based on internal model strategy. The advantageous of the proposed control strategy is well described in the paper. To test the validity of the proposed control, it is implemented in brushless dc motor drive. The mathematical model of brushless dc motor (BLDC) is presented for control design. In addition the robustness of the control strategy is discussed. The proposed control strategy possesses good transient responses and good load disturbance response. In addition, the proposed control strategy possesses good tracking ability. To test the effectiveness of the proposed strategy, the BLDC is represented in transfer function model and later implemented in test system. The results are presented to validate the proposed control strategy for BLDC drive.

A.PURNA CHANDRA RAO; Y. P. OBULESU,; CH. SAI BABU

2010-01-01

40

Neural Control based on Incomplete Derivative PID Algorithm  

Directory of Open Access Journals (Sweden)

Full Text Available In the actual control, complete differential digital PID algorithms have been widely used. But the differential will amplify high-frequency noise. If the differential response is too sensitive, it is easy to cause the control process oscillation, incomplete PID control algorithms can overcome the differential oscillation. Incomplete derivative PID algorithm combined with neural network improves the system control quality, it has the important practical significance. The simulation shows it has good position tracking performance and high robustness.

QiZhi Wang; Xiaoxia Wang

2013-01-01

 
 
 
 
41

Design of a temperature control system using incremental PID algorithm for a special homemade shortwave infrared spatial remote sensor based on FPGA  

Science.gov (United States)

An image spectrometer of a spatial remote sensing satellite requires shortwave band range from 2.1?m to 3?m which is one of the most important bands in remote sensing. We designed an infrared sub-system of the image spectrometer using a homemade 640x1 InGaAs shortwave infrared sensor working on FPA system which requires high uniformity and low level of dark current. The working temperature should be -15+/-0.2 Degree Celsius. This paper studies the model of noise for focal plane array (FPA) system, investigated the relationship with temperature and dark current noise, and adopts Incremental PID algorithm to generate PWM wave in order to control the temperature of the sensor. There are four modules compose of the FPGA module design. All of the modules are coded by VHDL and implemented in FPGA device APA300. Experiment shows the intelligent temperature control system succeeds in controlling the temperature of the sensor.

Xu, Zhipeng; Wei, Jun; Li, Jianwei; Zhou, Qianting

2010-11-01

42

Diseño de controladores de tipo proporcional integral derivativo (PID) y difuso para la posición de un motor de corriente continua (DC)/ PID and Fuzzy Controller Design for DC Motor Positioning/ Desenho de controladores de tipo proporcional integral derivativo (PID) e difuso para a posição de um motor de corrente continua (DC)  

Scientific Electronic Library Online (English)

Full Text Available Abstract in portuguese Neste artigo compara-se o desempenho de dois controladores -o proporcional integral derivativo (PID) e o difuso- sobre uma plataforma comercial, utilizada normalmente em aeromodelismo, o servomotor Futaba S3004. Antes de realizar a identificação sobre o motor, modificam-se o circuito de controle, a etapa de potência e o sensor. Posteriormente utiliza-se o método do lugar das raízes para sintonizar o PID no controle da posição angular. As simulações e o controle r (more) ealizam-se desde Simulink de MATLAB®, no qual se usa também uma placa de aquisição de dados, a PCI 6024E. No final do documento analisam-se os resultados e observa-se que o controlador PID tem o melhor comportamento, mas o do controlador difuso é comparável. Abstract in spanish En este artículo se compara el desempeño de dos controladores -el proporcional integral derivativo (PID) y el difuso- sobre una plataforma comercial, utilizada normalmente en aeromodelismo, el servomotor Futaba S3004. Antes de realizar la identificación sobre el motor, se modifican el circuito de control, la etapa de potencia y el sensor. Enseguida se utiliza el método del lugar de las raíces para sintonizar el PID en el control de la posición angular. Las simulacio (more) nes y el control se realizan desde Simulink de MATLAB®, en lo cual se usa además una tarjeta de adquisición de datos, la PCI 6024E. Al final del documento se analizan los resultados y se observa que si bien el controlador PID tiene el mejor comportamiento, el del controlador difuso es comparable. Abstract in english The performance of PID and fuzzy controllers is compared in a commercial device normally used in model airplanes: the S3004 Futaba Servo. The controller circuit, the power amplifier and the sensor are modified, and then the motor is observed. Next, a root-locus method is used to tune a PID for angular position control. Simulations and control are made in Matlab's Simulink, and also a data acquisition card (PCI 6024E) is used. Results are analyzed at the end of the document: although the PID controller works better, the fuzzy controller shows a similar performance.

Rairán-Antolines, José Danilo; Guerrero-Cifuentes, Cindy Estéfany; Mateus-Pineda, Jaime Alfredo

2010-01-01

43

Turbine speed control system based on a fuzzy-PID  

Science.gov (United States)

The flexibility demand of marine nuclear power plant is very high, the multiple parameters of the marine nuclear power plant with the once-through steam generator are strongly coupled, and the normal PID control of the turbine speed can’t meet the control demand. This paper introduces a turbine speed Fuzzy-PID controller to coordinately control the steam pressure and thus realize the demand for quick tracking and steady state control over the turbine speed by using the Fuzzy control’s quick dynamic response and PID control’s steady state performance. The simulation shows the improvement of the response time and steady state performance of the control system.

Sun, Jian-Hua; Wang, Wei; Yu, Hai-Yan

2008-12-01

44

Effective Open-loop Transfer Function method for design of multi-loop PI/PID controller for interacting multivariable processes  

Directory of Open Access Journals (Sweden)

Full Text Available In terms of control multi loop processes are very complicated when compared to single loop processes due to the existence of interactions between manipulated and controlled variables. During the last several decades this topic has drawn lot of research attention and many multivariable control approaches have been proposed. This Project proposes an Effective Open-loop Transfer Function (EOTF) method for PI/PID design of multi-loop control processes, by employing the concepts of Internal Model Control (IMC) with reduced EOTF and Dynamic Relative Gain Array (DRGA). With this method a multiloop control system is decomposed into a set of independent single input single output (SISO) loops. The advantages of the proposed method are: (i) the overall control system performance is better compared with existing methods, and (ii) the control system is robust. This technique works with satisfactory performance even under significant model mismatches that commonly occur in the process control industry. With the help of Effective Open-loop Transfer Function (EOTF) - based method and DRGA concept, dynamic interactions are satisfactorily taken in to account. Benchmark examples of multivariable industrial processes with different interaction characteristics are used in this paper to demonstrate the simplicity and effectiveness of the proposed design method. The proposed method is simulated using MATLAB/SIMULINK.

A. Harsha Ragini; K. Rajesh; B. Hari Krishna

2013-01-01

45

Main Stream Temperature Control System Based on Smith-PID Scheduling Network Control  

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Full Text Available This paper is concerned with the controller design problem for a class of networked main stream temperature control system with long random time delay and packet losses. To compensate the effect of time delay and packet losses, a gain-scheduling based Smith-PID controller is proposed for the considered networked control systems (NCSs). Moreover, to further improve the control performance of NCSs, genetic algorithm is employed to obtain the optimal control parameters for gain-scheduling Smith-PID controller. Simulation results are given to demonstrate the effectiveness of the proposed methods.

Jianqiu Deng; Haijun Li; Zhengxia Zhang

2011-01-01

46

Speed Control of DC Motor Using Extended Kalman FilterBased Fuzzy PID  

Directory of Open Access Journals (Sweden)

Full Text Available In this paper, extended Kalman filter (EKF) isused for online optimization of input and output membershipfunctions (MFs) of Mamdani fuzzy PID controller. Theproposed controller is employed for controlling the separatelyexcited DC motor. The simulation results show that the fuzzyPID controller with online optimization has better efficiencythan classic PID controller and fuzzy PID controller with fixedmembership functions.

Meysam Shadkam; Hamed Mojallali; Yaser Bostani

2013-01-01

47

The Fuzzy-PID compound control system for the HTR-10  

International Nuclear Information System (INIS)

[en] The mathematical model of the 10 MW high temperature gas-cooled test reactor (HTR-10) is developed, and described with transfer functions. The Fuzzy-PID compound control tactic is adopted to design the control system. The numerical simulation deals with the decrease of the nuclear power from 100% to 30% in 15 minutes. Furthermore, the simulation results are compared with those of independent PID control and independent fuzzy control, respectively. The comparison shows: when the nuclear power changes, with the Fuzzy-PID compound control, the outlet helium temperature follows its rated value. It is proved that the Fuzzy-PID compound control has better dynamic behavior and better steady precision

1997-01-01

48

Remote PID Control of a DC Motor  

Directory of Open Access Journals (Sweden)

Full Text Available This paper presents a remote experiment forcontrolling a DC motor. This work was part of a final yeargraduation project of the Industrial Electronics Course atthe University of Minho. It was implemented by anundergraduate student for students use. The experiment iscontrolled using a PID algorithm programmed in LabViewenvironment. The remote user can test PID digitalalgorithms and parameters, change reference velocity valuesand register the motor output velocity profile.

V. Silva; V. Carvalho; R. M. Vasconcelos; F. Soares

2007-01-01

49

PID Self-Tuning Controllers Used in Different Structures of the Control Loops  

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Full Text Available The paper investigates the behavior of digital PID self-tuning controllers (STC) in different structures of the control loops used in adaptive systems. In the two phases of this type of systems which use a STC-PID, the first phase, i.e. the task of recursive identification of the plant model parameters, is used a regression (ARX) model with the recursive least squares method. Because the quality of process model depends on the order of the ARX model and of the sample period (Ts), the digital PID parameters are functions of these variables and, supplementary, of continuous-time PID parameters and of the control loop structures used in the adaptive system (although, not so largely as the firstly three variables). To see the latter influence, in this paper are considered two control loop block diagram, and for simulations - three different processes (stable; with no minimum phase; unstable), and some simulations with different . The PID controller design method used to obtain the specs desired for control loop dynamic behavior was the pole assignment method of the loop.

Viorel DUGAN; Adrian DAN; Clara IONESCU; Mirela COTRUMB

2008-01-01

50

PID feedback control of monochromator thermal stabilization  

International Nuclear Information System (INIS)

The desire for increasingly smaller X-ray beams for macromolecular crystallography experiments also stimulates the need for improvements in beam stability. There are numerous sources of instability, which influence beam quality on the micron-size scale. Typically, the most problematic source is thermal drift within the double crystal monochromators. In addition to using liquid nitrogen to indirectly cool both the first and second crystals, GM/CA-CAT previously used a combination of flowing water at constant temperature and copper braiding to stabilize the mechanics, mounts, and the Compton scatter shielding. However, the copper braids inefficiently stabilized the temperature of components that were distant from the water lines. Additionally, vibrations in the water lines propagated throughout the vibrationally dampened monochromator, thereby introducing both positional and intensity instabilities in the transmitted X-ray beam. To address these problems, heating pads were placed directly onto the temperature-sensitive components, with output controlled by a PID-feedback loop. As a result, there is negligible temperature change in the first crystal radiation shielding over the entire range of operational heat loads. Additionally, the angular drift in the second crystal induced by temperature changes in other components is dramatically decreased.

2011-09-01

51

CONTROL OF CONCENTRATION IN CSTR USING DMC AND CONVENTIONAL PID BASED ON RELAY FEEDBACK METHOD  

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Full Text Available This paper presents the design of a Dynamic Matrix Controller (DMC) is analyzed for concentration control of Continuous Stirred Tank Reactors (CSTRs) which have strong nonlinearities. Various control approaches have been applied on CSTR to control its parameters. All the industrial process applications require solutions of a specific chemical strength of the chemicals or fluids considered for analysis. Such specific concentrations are achieved by mixing a full strength solution with water in the desired proportions. For this, we use twocontrollers DMC and PID and analyzed. The basic PID controllers have difficulty in dealing with complex nonlinear processes. Simulation studies give satisfactory results. In this paper the control the concentration of one chemical with the help of other has been analyzed. Model design and simulation are done in MATLAB/SIMULINK, using programming. The concentration control is found better controlled with the addition of DMC instead of PID controller solely.

S. SRINIVASULU RAJU; M. AYEESHA SIDDIQA; T.K.S. RAVI KIRAN; M. VISWANATH

2013-01-01

52

Tuning and Application of Integer and Fractional Order PID Controllers  

Science.gov (United States)

Fractional calculus (FC) is widely used in most areas of science and engineering, being recognized its ability to yield a superior modeling and control in many dynamical systems. In this perspective, this article illustrates two applications of FC in the area of control systems. Firstly, is presented a methodology of tuning PID controllers that gives closed-loop systems robust to gain variations. After, a fractional-order PID controller is proposed for the control of an hexapod robot with three dof legs. In both cases, it is demonstrated the system's superior performance by using the FC concepts.

Barbosa, Ramiro S.; Silva, Manuel F.; Machado, J. A. Tenreiro

53

Genetic Algorithm based PID controller for Frequency Regulation Ancillary services  

Directory of Open Access Journals (Sweden)

Full Text Available In this paper, the parameters of Proportional, Integral and Derivative (PID) controller for Automatic Generation Control (AGC) suitable in restructured power system is tuned according to Generic Algorithms (GAs) based performance indices. The key idea of the proposed method is to use the fitness function based on Area Control Error (ACE). The functioning of the proposed Genetic Algorithm based PID (GAPID) controller has been demonstrated on a 75-bus Indian power system network and the results have been compared with those obtained by using Least Square Minimization method.

Sandeep Bhongade; H.O. Gupta,; Dr. Barjeev Tyagi

2010-01-01

54

Comparison of PID and Fuzzy Controlled DC to DC Converter with Inductor Resistance.  

Directory of Open Access Journals (Sweden)

Full Text Available The DC-DC boost converter reveals highly non-linear and non-minimum phase properties, is very difficult task to design a controller that is healthy against load variation. For this purpose a Fuzzy PID Controller is proposed to control DC-DC boost converter which has a practical inductor and a series resistance. A balancing ProportionalIntegral-Differential (PID) controller to the parallel-damped passivity-based controller PD-PBC is also proposed for removing the steady state error even though the parasitic resistance. MATLAB simulations are performed under step changes and load perturbations to measure the improvement in performance of the proposed approach.

R.Anand; P.Melba Mary

2013-01-01

55

Tuning method for multi-variable control system with PID controllers  

International Nuclear Information System (INIS)

Control systems, including thermal and nuclear power plants, generally and mainly use PID controllers consisting of proportional, integral and differential actions. These systems consist of multiple control loops which interfere with each other. Therefore, it is present status that the fine control of the system is carried out by the trial and error method because the adjusting procedure for a single control loop cannot be applied to a multi-loop system in most cases. In this report, a method to effectively adjust PID controller parameters in a short time in a control system which consists of multi-loops that interfere with each other. This method makes adjustment by using the control area as the evaluation function, which is the time-dependent integration of control deviation, the input to the PID controllers. In other words, the evaluation function is provided for each control result for every parameter (gain constant, reset rate, and differentiation time), and all parameters are simultaneously changed in the direction of minimizing the values of these evaluation functions. In the report, the principle of tuning method, the evaluation function for each of three parameters, and the adjusting system configuration for separately using for actual plant tuning and for control system design are described. It also shows the examples of application to the actual tuning of the control system for a thermal power plant and to a control system design. (Wakatsuki, Y.)

1983-01-01

56

Adaptive fuzzy PID temperature control system based on single-chip computer for the autoclave  

Science.gov (United States)

The autoclave is one of main preparation equipments of crystal preparation by hydrothermal method. The preparation temperature will seriously influence crystals quality and crystals size at high temperature, how to measure and control precisely the autoclave temperature can be of real significance. The characteristic of hysteresis, nonlinearity and difficulty to acquire the precise mathematical model existing in the temperature control of the autoclave was researched. The general PID controller adopted usually in the autoclave temperature control system is hard to improve temperature control performance. Based on the advantages of fuzzy controller that does not depend on the precise mathematical model and the stabilization of PID controller, single-chip computer integrated fuzzy PID control algorithm is adopted, and the temperature system is designed, the foundational working principle was discussed. The control system includes SCM (AT89C52), temperature sensor, A/D converter circuit and corresponding circuit and interface, can make the autoclave temperature measure and control accurately. The system hardware includes main circuit, thyristor drive circuit, audible and visual alarm circuit, watchdog circuit, clock circuit, keyboard and display circuit so on, which can achieve gathering, analyzing, comparing and controlling the autoclave temperature parameter. The program of control system includes the treatment and collection of temperature data, the dynamic display program, the fuzzy PID control system, the audible and visual alarm program, et al, and the system's main software, which includes initialization, key-press processing, input processing, display, and the fuzzy PID control program was analyzed. The results showed that the fuzzy PID control system makes the adjustment time of temperature decreased and the precision of temperature control improved, the quality and the crystals size of the preparation crystals can achieve the expect experiment results.

Zhang, F.; Wang, J.; Fu, S. L.; He, Z. T.; Li, X. P.

2008-12-01

57

A Paper on System Stability (First Order and Second Order) Using PID Controller  

Directory of Open Access Journals (Sweden)

Full Text Available PID Controller is used for tuning of three constants(P,I&D).It stabilize the system by reducing oscillations andsettling time. In the proposed method, new tuning rules based onthe exact satisfaction of gain and phase margin specificationsusing proportional-integral (PI) andproportional-integral-differential (PID) type controllers are usedfor unstable first-order plus dead-time (UFOPDT) processes. Thetuning rules are given in the form of iterative algorithms, as wellas in the form of accurate, analytical approximations. Moreover,several specific functions, related to the crossover frequencies ofthe Nyquist plot and to the feasible design specifications for agiven process, are derived. These functions, which are particularlyuseful for the general design of PI and PID-type controllers forUFOPDT processes are accurately approximated, in order tosimplify the tuning procedure. With the proposed approximations,the tuning rules require relatively small computational effort andare particularly useful for online applications.

Kshitiz Agarwal

2013-01-01

58

Vibration Control of Bus Suspension System using PI and PID Controller  

Directory of Open Access Journals (Sweden)

Full Text Available This paper presents the application of PI and PIDcontroller to control the vibration occurred in the bus suspensionsystem. When the suspension system is designed, a ¼ model ofbus is used to simplify the problem to a one dimensional massspring-damper system. Its open-loop performance on the basis oftime response is observed which depicts that the bus suspensionhas oscillations with large settling time. To overcome thisproblem, closed-loop system is used. Despite continuousadvancement in control theory, Proportional –Integral (PI) andProportional-Integral-Derivative (PID) Controllers are thepopular technique to control any process. In this paper,Proportional-Integral (PI) and Proportional-Integral-Derivative(PID) controllers are used to control the vibrations to givesmooth response of the bus suspension system and carry-out their comparison on the basis of time and frequency using Matlab environment. The simulation and implementation of thecontroller is done using MATLAB/SIMULINK.

Swati Gaur

2013-01-01

59

Neural PID Control of Robot Manipulators With Application to an Upper Limb Exoskeleton.  

UK PubMed Central (United Kingdom)

In order to minimize steady-state error with respect to uncertainties in robot control, proportional-integral-derivative (PID) control needs a big integral gain, or a neural compensator is added to the classical proportional-derivative (PD) control with a large derivative gain. Both of them deteriorate transient performances of the robot control. In this paper, we extend the popular neural PD control into neural PID control. This novel control is a natural combination of industrial linear PID control and neural compensation. The main contributions of this paper are semiglobal asymptotic stability of the neural PID control and local asymptotic stability of the neural PID control with a velocity observer which are proved with standard weight training algorithms. These conditions give explicit selection methods for the gains of the linear PID control. An experimental study on an upper limb exoskeleton with this neural PID control is addressed.

Yu W; Rosen J

2012-09-01

60

Simulation Research of Brushless Direct Current Motor Speed System Based on Neuro-PID Position Controller  

Directory of Open Access Journals (Sweden)

Full Text Available A new speed control strategy is presented for high performance con­trol of a Brushless Direct Current Motor (BLDCM). A self-tuning Neuro-PID controller is developed for speed control. The PID gains are tuned automatically by the neural network in an on-line way. In recent years, the re-searches on the control of electrical machines based on Neuro-PID Position Controller are increased.It offers inherent advantages over con­ventional PID controller for BLDCM, Such as reduction of the effects of motor parameter variations, improvement of controller time response and improve­ment of drive robustness. The BLDCM drive system was simulated by using MATLAB 7.0/Simulink software package. The performance of the proposed method is compared with the conventional PID methods. At the result, the con­trol based on self-tuning Neuro-PID control has better performance than the conventional PID controller.

Xiang Li

2009-01-01

 
 
 
 
61

A modified Adaptive Wavelet PID Control Based on Reinforcement Learning for Wind Energy Conversion System Control  

Directory of Open Access Journals (Sweden)

Full Text Available Nonlinear characteristics of wind turbines and electric generators necessitate complicated and nonlinear control of grid connected Wind Energy Conversion Systems (WECS). This paper proposes a modified self-tuning PID control strategy, using reinforcement learning for WECS control. The controller employs Actor-Critic learning in order to tune PID parameters adaptively. These Actor-Critic learning is a special kind of reinforcement learning that uses a single wavelet neural network to approximate the policy function of the Actor and the value function of the Critic simultaneously. These controllers are used to control a typical WECS in noiseless and noisy condition and results are compared with an adaptive Radial Basis Function (RBF) PID control based on reinforcement learning and conventional PID control. Practical emulated results prove the capability and the robustness of the suggested controller versus the other PID controllers to control of the WECS. The ability of presented controller is tested by experimental setup.

SEDIGHIZADEH, M.; REZAZADEH, A.

2010-01-01

62

Systematic design approach of fuzzy PID stabilizer for DC-DC converters  

International Nuclear Information System (INIS)

DC-DC converters process electrical energy by switching between a fixed number of configurations. The objective of controlling these systems is to provide better performances, ensure closed loop stability and guarantee a simple predictable behaviour. Based on a converter averaged model, we propose, in this paper, a systematic design approach of a fuzzy PID. The choice of controller parameters stands on the whole system stability requirements. Extension of the obtained asymptotic stability to structural stability is presented to show that the developed controller ensures also a simple and predictable behaviour of the converter. Finally, we illustrate the efficiency of the proposed fuzzy PID design approach through simulations in voltage mode as well as in current mode control.

2008-01-01

63

Sinusoidal rotatory chair system by an auto-tuning fuzzy PID controller  

Energy Technology Data Exchange (ETDEWEB)

This paper presents DC servo motor speed control characteristics by fuzzy logic controller and considers position following control response with controller. A sinusoidal rotatory chair system using an auto tuning fuzzy PID control was designed to evaluate the vestibular function. Then the system is investigated for the effects of change by the fuzziness of fuzzy variable. If this system is supported by a channel, it is considered for application in industry of multi joint robot and precision parallel driving.

Park, H.A. [Kwangju Health Inst. of Science (Korea, Republic of). Dept. of Computer and Information Processing; Cha, I.S. [Dong Shin Univ., Chonnam (Korea, Republic of). Dept. of Electrical and Electronic Engineering; Baek, H.L. [Cho Sun Univ., Kwangju (Korea, Republic of). Dept. of Electrical Engineering

1995-12-31

64

Improved PID method of temperature control for adiabatic demagnetization refrigerators  

International Nuclear Information System (INIS)

We report a new method of precise temperature control for an adiabatic demagnetization refrigerator (ADR). Temperature of the experimental stage of ADRs is usually controlled with the standard PID (Proportional, Integral, and Derivative control) method by decreasing the magnet current of the superconducting solenoid surrounding the paramagnetic salt inside the ADR. In controlling the temperature of our portable ADR system, we found a small residual between the aimed and measured temperatures, which gradually increased in time as the magnet current decreases. This phenomenon is explained by the magnetic cooling theory, and we have introduced a new functional parameter to improve the standard PID method. Applying this improvement to our system, highly stabilized temperature of 10?K rms at 100mK up to the period of ?15ks is presented. It is demonstrated that the temperature controlled time was increased by ?30% in our experiment. Our improved PID method is useful to maintain the long-term temperature stability down to almost zero magnet current with a relatively small ADR.

2006-03-15

65

Improved PID method of temperature control for adiabatic demagnetization refrigerators  

Energy Technology Data Exchange (ETDEWEB)

We report a new method of precise temperature control for an adiabatic demagnetization refrigerator (ADR). Temperature of the experimental stage of ADRs is usually controlled with the standard PID (Proportional, Integral, and Derivative control) method by decreasing the magnet current of the superconducting solenoid surrounding the paramagnetic salt inside the ADR. In controlling the temperature of our portable ADR system, we found a small residual between the aimed and measured temperatures, which gradually increased in time as the magnet current decreases. This phenomenon is explained by the magnetic cooling theory, and we have introduced a new functional parameter to improve the standard PID method. Applying this improvement to our system, highly stabilized temperature of 10{mu}K rms at 100mK up to the period of {approx}15ks is presented. It is demonstrated that the temperature controlled time was increased by {approx}30% in our experiment. Our improved PID method is useful to maintain the long-term temperature stability down to almost zero magnet current with a relatively small ADR.

Hoshino, A. [Department of Physics, Tokyo Metropolitan University, Minami-Osawa 1-1, Hachioji, Tokyo 192-0397 (Japan)]. E-mail: h_akio@phys.metro-u.ac.jp; Shinozaki, K. [Department of Physics, Tokyo Metropolitan University, Minami-Osawa 1-1, Hachioji, Tokyo 192-0397 (Japan); Ishisaki, Y. [Department of Physics, Tokyo Metropolitan University, Minami-Osawa 1-1, Hachioji, Tokyo 192-0397 (Japan); Mihara, T. [RIKEN, Hirosawa 2-1, Wako, Saitama 351-0198 (Japan)

2006-03-15

66

MINIMUM RULE BASED PID SLIDING MODE FUZZY CONTROL TECHNIQUES FOR BRUSHLESS DC MOTOR DRIVES  

Directory of Open Access Journals (Sweden)

Full Text Available In this paper, a mathematical tunable gain model free PID - like sliding mode fuzzy controller (PIDSMFC) is designed to rich the best performance. Sliding mode fuzzy controller is studied because of its model free,stable and high performance. Today, most of systems are used in unknown and unstructured environment and caused to provide sophisticated systems, therefore strong mathematical tools (e.g., nonlinear sliding mode controller) are used in artificial intelligent control methodologies to design model free nonlinear robust controller with high performance (e.g., minimum error, good trajectory, disturbance rejection). Non linear classical theories have been applied successfully in many applications, but they also have some limitation. One of the most important challenging in pure sliding mode controller and sliding mode fuzzy controller is sliding surface slope. Thispaper focuses on adjusting the gain updating factor and sliding surface slope in PID-like sliding modefuzzy controller to have the best performance and reduce the limitation.

C. Navaneethakkannan; M. Sudha

2012-01-01

67

Avaliação de controles PID adaptativos para um sistema de aquecimento resistivo de água Evaluation of adaptive PID controls for a resistive system of heating water  

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Full Text Available O trabalho consiste na implementação de um controle convencional PID/SISO-feedback para obter um ajuste fino na temperatura de entrada da água de aquecimento em um processo de pasteurização. Para isto utilizou-se uma resistência de 2500 Watts instalada na linha do fluido secundário da seção de aquecimento do pasteurizador e um Pt100 para a medição de sua temperatura. Como o comportamento desta temperatura em função de uma mesma perturbação degrau de potência na resistência é dependente da vazão de trabalho, objetivou-se encontrar um controle único para que a mesma fosse mantida no set-point desejado na faixa de operação de vazão da água do processo (300 a 700L/h). Três sintonias para o controlador adaptativo PID foram testadas: a primeira consistiu na implementação de uma função adaptativa dos parâmetros PID, ajustada através dos valores individuais obtidos para cada vazão de trabalho conforme metodologia da curva de reação do processo; a segunda consistiu em configurar os parâmetros do PID com os valores médios destes calculados individualmente para cada vazão, e a terceira consistiu na sintonia através de uma função adaptativa ajustada pelos parâmetros de sintonia obtidos pela metodologia de Aström & Hägglund. A avaliação do desempenho das sintonias dos controladores adaptativos foi realizada por comparação dos valores dos índices de erro, obtidos por perturbações do sistema em malha fechada na vazão de água. Os resultados obtidos mostraram que dentre as sintonias testadas, a terceira sintonia, popularmente conhecida como "Bang-Bang", apresentou menores oscilações e os menores valores dos índices de erros.The aim of this work is to implement a conventional PID/SISO feedback control to obtain a fine adjustment of the water inlet temperature at a pasteurization process. For that, a resistance of 2500 Watts and a Pt100 to measure the temperature were installed in the water inlet line of the pasteurizer heating section. As the water temperature behavior according to the same step change on the potency of the resistance depends on the working flow rate, a single controller was designed to keep this temperature at its desirable set-point, for the water flow rate, within the range of 300 to 700L/h. Three different tunings for the PID were tested: the first consisted on the implementation of a function for the calculation of the PID parameters fitted to individual values obtained from each flow rate, according to process reaction curve methodology; the second consisted on using the PID parameters calculated as the average of these individual values; at the third tuning, an adaptive function fitted with the individual parameters obtained with Aström & Hägglund methodology was used. The performance evaluation of the configured PID controllers was carried out by comparing the error index values, obtained after disturbances in the water flow rate in the closed loop system. The error indexes calculated after step changes in the water flow rate were used to evaluate the tunings. The results have shown that the third tuning, called "Bang Bang" presented minor oscillations and smaller error indexes compared to the other two methods.

Maria Isabel Berto; Fabiana Rodrigues de Sá; Vivaldo Silveira Jr.

2004-01-01

68

Avaliação de controles PID adaptativos para um sistema de aquecimento resistivo de água/ Evaluation of adaptive PID controls for a resistive system of heating water  

Scientific Electronic Library Online (English)

Full Text Available Abstract in portuguese O trabalho consiste na implementação de um controle convencional PID/SISO-feedback para obter um ajuste fino na temperatura de entrada da água de aquecimento em um processo de pasteurização. Para isto utilizou-se uma resistência de 2500 Watts instalada na linha do fluido secundário da seção de aquecimento do pasteurizador e um Pt100 para a medição de sua temperatura. Como o comportamento desta temperatura em função de uma mesma perturbação degrau de potênc (more) ia na resistência é dependente da vazão de trabalho, objetivou-se encontrar um controle único para que a mesma fosse mantida no set-point desejado na faixa de operação de vazão da água do processo (300 a 700L/h). Três sintonias para o controlador adaptativo PID foram testadas: a primeira consistiu na implementação de uma função adaptativa dos parâmetros PID, ajustada através dos valores individuais obtidos para cada vazão de trabalho conforme metodologia da curva de reação do processo; a segunda consistiu em configurar os parâmetros do PID com os valores médios destes calculados individualmente para cada vazão, e a terceira consistiu na sintonia através de uma função adaptativa ajustada pelos parâmetros de sintonia obtidos pela metodologia de Aström & Hägglund. A avaliação do desempenho das sintonias dos controladores adaptativos foi realizada por comparação dos valores dos índices de erro, obtidos por perturbações do sistema em malha fechada na vazão de água. Os resultados obtidos mostraram que dentre as sintonias testadas, a terceira sintonia, popularmente conhecida como "Bang-Bang", apresentou menores oscilações e os menores valores dos índices de erros. Abstract in english The aim of this work is to implement a conventional PID/SISO feedback control to obtain a fine adjustment of the water inlet temperature at a pasteurization process. For that, a resistance of 2500 Watts and a Pt100 to measure the temperature were installed in the water inlet line of the pasteurizer heating section. As the water temperature behavior according to the same step change on the potency of the resistance depends on the working flow rate, a single controller was (more) designed to keep this temperature at its desirable set-point, for the water flow rate, within the range of 300 to 700L/h. Three different tunings for the PID were tested: the first consisted on the implementation of a function for the calculation of the PID parameters fitted to individual values obtained from each flow rate, according to process reaction curve methodology; the second consisted on using the PID parameters calculated as the average of these individual values; at the third tuning, an adaptive function fitted with the individual parameters obtained with Aström & Hägglund methodology was used. The performance evaluation of the configured PID controllers was carried out by comparing the error index values, obtained after disturbances in the water flow rate in the closed loop system. The error indexes calculated after step changes in the water flow rate were used to evaluate the tunings. The results have shown that the third tuning, called "Bang Bang" presented minor oscillations and smaller error indexes compared to the other two methods.

Berto, Maria Isabel; Sá, Fabiana Rodrigues de; Silveira Jr., Vivaldo

2004-09-01

69

Compare the results of Tuning of PID controller by using PSO and GA Technique for AVR system  

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Full Text Available This paper Present to design method fordetermining the optimal proportional-integral-derivative(PID) controller parameters of an Automatic VoltageRegulator (AVR) system using the particle swarmoptimization (PSO) algorithm and Genetic Algorithm (GA).The design goal is to minimize transient response byminimizing overshoot, settling time and rise time of stepresponse. The proposed approach had superior features,including easy implementation, stable convergencecharacteristic, and good computational efficiency. Fast tuningof optimum PID controller parameters yields high-qualitysolution. First an objective function is defined, and then byminimizing the objective functions using real-coded GA andPSO, the optimal controller parameters can be assigned.Compare the result of step response of AVR system by usingParticle Swarm Optimization (PSO) and Genetic Algorithm(GA). The obtained result of the closed loop PSO-PID andGA-PID controller response to the unit step input signalshows excellent performance of the PID controller.Keywords— AVR system, Feedback System, Optimization,PID controller, PSO and GA.

Anil Kumar , Dr. Rajeev Gupta

2013-01-01

70

Simple analytic rules for model reduction and PID controller tuning  

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Full Text Available The aim of this paper is to present analytic rules for PID controller tuning that are simple and still result in good closed-loop behavior. The starting point has been the IMC-PID tuning rules that have achieved widespread industrial acceptance. The rule for the integral term has been modified to improve disturbance rejection for integrating processes. Furthermore, rather than deriving separate rules for each transfer function model, there is a just a single tuning rule for a first-order or second-order time delay model. Simple analytic rules for model reduction are presented to obtain a model in this form, including the 'half rule' for obtaining the effective time delay.

Sigurd Skogestad

2004-01-01

71

Research on the Robustness of an Adaptive PID Control of a Kind of Supersonic Missile  

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Full Text Available Based on the multi-loop design method, the dynamic characteristic of missile system is viewed as a two-loops system, such as inner loop and outer loop. An adaptive PID control strategy is designed for the pitch channel linear model of supersonic missile. The robustness of a double PID controller is analyzed by changing the aerodynamic coefficients. The control law is testified to be stable even the aerodynamic coefficients are changed between 0.7 and 1.7 times of its standard value and the control effect is compared with the sliding mode control strategy. Also the advantage and defect of both control strategy are summarized at the end of this study.

Gangling Jiao; Yuqiang Jin; Shixing Wang

2012-01-01

72

Energy Analysis of Pid Controlled Heat Pump Dryer  

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Full Text Available In this experimental study, a heat pump dryer was designed and manufactured, in which drying air temperature was controlled PID. Manufactured heat pump dryer was tested in drying kiwi, avocado and banana from among tropical fruits and energy and exergy analyses were made. Drying air temperature changed between 40 oC - 40.2 oC while drying the tropical fruits. Before the drying process in heat pump dryer, initial moisture contents were determined as 4.31 g water / g dry matter for kiwi, 1.51 g water / g dry matter for avocado and 4.71 g water / g dry matter for banana. Then tropical fruits were dried separately in heat pump dryer. Drying air temperature was kept unchanged with the error of +0.2 oC. Drying air velocity changed between 0.3 and 0.4 m/s in a period of 310 min. COPws of the heat pump dryer was calculated as 2.49 for kiwi, 2.47 for banana and 2.41 for avocado during the experiments. EUR changed between 13 % and 28 % for kiwi, 18% and 33% for avocado and 13% and 42% for banana in heat pump dryer.

Ilhan CEYLAN

2009-01-01

73

A method for closed loop automatic tuning of PID controllers  

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Full Text Available A simple method for the automatic tuning of PID controllers in closed loop is proposed. A limit cycle is generated through a nonlinear feedback path from the process output to the controller reference signal. The frequency of this oscillation is above the crossover frequency and below the critical frequency of the loop transfer function. The amplitude and frequency of the oscillation are estimated and the control parameters are adjusted iteratively such that the closed loop transfer function from the controller reference to the process output attains a specified amplitude at the oscillation frequency.

Tor S. Schei

1992-01-01

74

Hybrid Takagi-Sugeno Fuzzy FED PID Control of Nonlinear Systems  

Science.gov (United States)

The new method of proportional-integral-derivative (PID) controller is proposed in this paper for a hybrid fuzzy PID controller for nonlinear system. The important feature of the proposed approach is that it combines the fuzzy gain scheduling method and a fuzzy fed PID controller to solve the nonlinear control problem. The resultant fuzzy rule base of the proposed controller contains one part. This single part of the rules uses the Takagi-Sugeno method for solving the nonlinear problem. The simulation results of a nonlinear system show that the performance of a fed PID Hybrid Takagi-Sugeno fuzzy controller is better than that of the conventional fuzzy PID controller or Hybrid Mamdani fuzzy FED PID controller.

Hamed, Basil; El Khateb, Ahmad

2008-06-01

75

Research on the Robustness of an Adaptive PID Control of a Kind of Supersonic Missile  

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Full Text Available In this study, the dynamic characteristic of missile system is viewed as a two-loop system, such as inner loop and outer loop and we design an adaptive PID control strategy for the pitch channel linear model of supersonic missile. The robustness of a double PID controller is analyzed by changing the aerodynamic coefficients. The control law is testified to be stable even the aerodynamic coefficients are changed between 0.7 and 1.7 times of its standard value and the control effect is compared with the sliding mode control strategy. Also the advantage and defect of both control strategy are summarized at the end of this study.

Gangling Jiao; Yuqiang Jin; Shixing Wang

2013-01-01

76

Genetic Algorithm Based PID tuning for Controlling Paraplegic Humanoid Walking Movement  

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Full Text Available Genetic Algorithm (GA) is a very useful tool to search and optimize many engineering and scientific problems. In this paper, a real time enhanced biomedical model of humanoid structure is developed in MSC visual Nastran to assist the paraplegic patient. The complexity of the model is driven by the needs that the model parameters must be estimated for an eventual individual with disability. After the development of humanoid structure an inverse model is designed to estimate the joint torques. The reference trajectories of the humanoid model are obtained from MSC visual Nastran.The controllers are designed in Matlab/ Simulink for four joints which are manually tuned simultaneously to obtain the results. Afterwards, GA is used to tune the PID controllers to find the optimal solutions which are compared with manually tuned PIDs. The results are shown and hence it is proved that GA has given a better optimized control system.

Hashim Ali; Ikramullah; M.Irfan; Mohsin Shahzad; M. Aftab

2012-01-01

77

Application of a Pid+fuzzy controller on the motion control system in machine tools  

Scientific Electronic Library Online (English)

Full Text Available Abstract in english This work deals with an hybrid PID+fuzzy logic controller applied to control the machine tool biaxial table motions. The non-linear model includes backlash and the axis elasticity. Two PID controllers do the primary table control. A third PID+fuzzy controller has a cross coupled structure whose function is to minimise the trajectory contour errors. Once with the three PID controllers tuned, the system is simulated with and without the third controller. The responses resul (more) ts are plotted and compared to analyse the effectiveness of this hybrid controller over the system. They show that the proposed methodology reduces the contour error in a proportion of 70:1.

Lacerda, H. B.; Belo, E. M.

1999-09-01

78

Developing e-course Robust Constrained PID Control  

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Full Text Available This paper informs about the latest development of the blended learning course Robust Constrained PID Control and describes in details problems faced in evaluating independent work of students with real time experiments that represent the main element of the applied “learning by doing” and “learning by experimenting” approach. Basic features of the developed system that evaluates consistency of student’s results with the measured experimental data and possibilities of further system expansion to automation of offering to student constructive feedback are discussed. Simultaneously, by comparing all data of the Matlab workspace the developed system serves although as an excellent anti-plagiarism tool.

Peter ?apák; Mikuláš Huba

2011-01-01

79

Adaptive PID-like Fuzzy Variable Structure Control for Uncertain MIMO Systems  

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Full Text Available In this study, the stability analysis of the PID-like adaptive fuzzy Sliding Model Controller (SMC) for a class of nonlinear uncertain MIMO systems is presented. The upper bounds of structured uncertainties and external disturbance are not needed to be known and approximated by a fuzzy inference system. To overcome the chattering problem in the conventional SMC scheme, an adaptive Proportional Integral Derivative (PID) controller is designed to replace the switching part of the SMC scheme. The approximation and estimation errors are also assumed to be unknown and estimated online by using adaptive laws. The global stability and robustness of the closed-loop system is ensured by the derivation of the stability criterion based upon Lyapunovs direct method. Finally, numerical simulations for an two-link rigid robot under different controllers are provided and the results show that the proposed approach achieves satisfactory performance from the viewpoint of chattering removement and tracking accuracy.

Zhang Xizheng; Wang Yaonan

2011-01-01

80

Online Self-Tuning Precompensation for a PID Heading Control of a Flying Robot  

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Full Text Available In this paper, an online self-tuning precompensation for a Proportional-Integral-Derivative (PID) controller is proposed to control heading direction of a flying robot. The flying robot is a highly nonlinear plant, it is a modified X-Cell 60 radio-controlled helicopter. Heading direction is controlled to evaluate efficiency of the proposed precompensation algorithm. The heading control is based on the conventional PID control combined with an online self-tuning precompensation so that both the desired transient and steady state responses can be achieved. The precompensation is applied to compensate unsatisfied performances of the conventional PID controller by adjusting reference command. The precompensator is based on Takagi-Sugeno's type fuzzy model, which learns to tune itself online. The main contribution of the proposed controller is to enhance the controlled performance of the conventional PID controller by adding a self-tuning precompensator on the existing conventional PID controller. The results show that the conventional PID controller with an online self-tuning precompensation has a superior performance than the conventional PID controller. In addition, the online selftuning precompensation algorithm is implemented simply by adding the precompensator to the existing conventional PID controller and letting the self-tuning mechanism tune itself online.

Sukon Puntunan; Manukid Parnichkun

2008-01-01

 
 
 
 
81

Intelligent Robust Feed-forward Fuzzy Feedback Linearization Estimation of PID Control with Application to Continuum Robot  

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Full Text Available Refer to this paper, an intelligent-fuzzy feed-forward computed torque estimator for Proportional-Integral-Derivative (PID) controller is proposed for highly nonlinear continuum robot manipulator. In the absence of robot knowledge, PID may be the best controller, because it is model-free, and its parameters can be adjusted easily and separately and it is the most used in robot manipulators. In order to remove steady-state error caused by uncertainties and noise, the integrator gain has to be increased. This leads to worse transient performance, even destroys the stability. The integrator in a PID controller also reduces the bandwidth of the closed-loop system. Model-based compensation for PD control is an alternative method to substitute PID control. Computed torque compensation is one of the nonlinear compensator. The main problem of the pure computed torque compensator (CTC) was highly nonlinear dynamic parameters which related to system’s dynamic parameters in certain and uncertain systems. The nonlinear equivalent dynamic problem in uncertain system is solved by using feed-forward fuzzy inference system. To eliminate the continuum robot manipulator system’s dynamic; Mamdani fuzzy inference system is design and applied to CTC. This methodology is based on design feed-forward fuzzy inference system and applied to CTC. The results demonstrate that the model base feed-forward fuzzy CTC estimator works well to compensate linear PID controller in presence of partly uncertainty system (e.g., continuum robot).

Afsaneh Salehi; Farzin Piltan; Mahmoud Mousavi; Arzhang Khajeh; Mohammad Reza Rashidian

2013-01-01

82

Study on PID control system based on fuzzy self-adaptive parameter-adjusting technique of once-through steam generator  

International Nuclear Information System (INIS)

A three-parameter fuzzy self-adaptive-adjusting Proportional-Integral-Differential (PID) control system is designed in this paper based on the full study of the characteristics of once-through steam generator. The fuzzy self-adaptive technique as well as three-parameter control system is introduced to normal PID control system. Simulation result indicates that this control system can give effective control over once-through steam generator by the analysis of control simulation result. (authors)

2008-01-01

83

Simulation Research on Control System of Brushless DC Motor Based on Fuzzy-PID  

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Full Text Available To improve the overall performance of brushless DC motor (BLDCM), fuzzy-PID controller and its application in BLDCM control system are presented. Through the analysis of the mathematical models of BLDCM and combination of fuzzy control strategy and traditional PID control strategy, the modeling and simulation are done by the fuzzy control toolbox of MATLAB. The simulation results show that the fuzzy PID control speeds up response time, reduces the overshoot, and has strong robust and adaptive capacity, so it can make the system have better control performance and good application value.

Fanneng Zhou; Changjun Qiu; Yulin Wang; Pinghu Chen

2012-01-01

84

Control of an electrohydraulic steering system using a PID controller with a nonlinear compensation algorithm  

Science.gov (United States)

Hydraulic steering control system is widely used on varieties of vehicles. This paper presents the application of a proportional-integral-derivative (PID) controller with a non-linear compensation algorithm to control an electrohydraulic (E/H) steering system on an agricultural vehicle. In this controller, the non-linear compensation algorithm was used to compensate for the system deadband and saturation of the electrohydraulic steering system and the PID loop was used to minimize the tracking error in steering control. The controller was tested on a Deere 8200 tractor driving on both cement pavement and farm fields. The test results indicate that the nonlinearity compensated PID controller performed well on agricultural vehicle steering control.

Dong, Zhilin; Zhang, Qin; Han, Shufeng

2002-07-01

85

Nonlinear Adaptive PID Control for Greenhouse Environment Based on RBF Network  

Digital Repository Infrastructure Vision for European Research (DRIVER)

This paper presents a hybrid control strategy, combining Radial Basis Function (RBF) network with conventional proportional, integral, and derivative (PID) controllers, for the greenhouse climate control. A model of nonlinear conservation laws of enthalpy and matter between numerous system variables...

Zeng, Songwei; Hu, Haigen; Xu, Lihong; Li, Guanghui

86

Implementation of motor speed control using PID control in programmable logic controller  

Science.gov (United States)

This paper presents the implementation of motor speed control using Proportional Integral Derrivative (PID) controller using Programmable Logic Controller (PLC). Proportional Integral Derrivative (PID) controller is the technique used to actively control the speed of the motor. An AC motor is used in the research together with the PLC, encoder and Proface touch screen. The model of the PLC that has been used in this project is OMRON CJIG-CPU42P where this PLC has a build in loop control that can be made the ladder diagram quite simple using function block in CX-process tools. A complete experimental analysis of the technique in terms of system response is presented. Comparative assessment of the impact of Proportional, Integral and Derivative in the controller on the system performance is presented and discussed.

Samin, R. E.; Azmi, N. A.; Ahmad, M. A.; Ghazali, M. R.; Zawawi, M. A.

2012-11-01

87

Fuzzy PID Control Method for Internet-based Tele-operation Manipulators System  

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Full Text Available Trajectory tracking control problem for internet-based tele-operation system is researched in this paper. The control structure of master and slave tele-operation manipulators adapts bilateral servo control architecture with force deviation feedback. The simulation model of three degrees of freedom (3-DOF) manipulator is presented. In order to ensure the synchronization of positions of the master and slave manipulators, a fuzzy PID control method is proposed. This control algorithm is to adjust the three parameters of PID controller online by fuzzy control method. The contrast simulation experiments of PID and fuzzy PID control methods show that the proposed control method can effectively improve the force and position tracking performance and reduce time delay.

Wei Gao; Miaolei Zhou

2013-01-01

88

Effect of Time Delay on Robust PID Controllers for a Transfer Function  

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Full Text Available A controller designed for a nominal process model generally works fine for the nominal plant model, but may fail even by a slight change in it. Robust control deals with system analysis and control design for such imperfectly known process models. Robust control has been a recent addition to the field of control engineering that primarily deals with obtaining system robustness in the presence of uncertainties. A lot of research has been done and many approaches are available for robust design of the plants. In this paper, a graphical technique introduced in [1] to find all proportional integral derivative (PID) controllers that satisfy the robust stability constraint of a given single input-single-output (SISO) linear time-invariant (LTI) system with time delay[1], is followed and effects of change of time-delay in the nominal plant model is discussed.

Mukul Gaur,; Sachin Goyal,; Prof. Sulata Bhandari,

2013-01-01

89

PID Parameters Optimization Using Genetic Algorithm Technique for Electrohydraulic Servo Control System  

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Full Text Available Electrohydraulic servosystem have been used in industry in a wide number of applications. Its dynamics are highly nonlinear and also have large extent of model uncertainties and external disturbances. In order to increase the reliability, controllability and utilizing the superior speed of response achievable from electrohydraulic systems, further research is required to develop a control software has the ability of overcoming the problems of system nonlinearities. In This paper, a Proportional Integral Derivative (PID) controller is designed and attached to electrohydraulic servo actuator system to control its angular position. The PID parameters are optimized by the Genetic Algorithm (GA). The controller is verified on the state space model of servovalve attached to a rotary actuator by SIMULINK program. The appropriate specifications of the GA for the rotary position control of an actuator system are presented. It is found that the optimal values of the feedback gains can be obtained within 10 generations, which corresponds to about 200 experiments. A new fitness function was implemented to optimize the feedback gains and its efficiency was verified for control such nonlinear servosystem.

Ayman A. Aly

2011-01-01

90

FUZZY LIKE PID CONTROLLER TUNING BY MULTI-OBJECTIVE GENETIC ALGORITHM FOR LOAD FREQUENCY CONTROL IN NONLINEAR ELECTRIC POWER SYSTEMS  

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Full Text Available This paper studies control of load frequency in single and two area power systems with fuzzy like PID controller. In this study, multi-objective genetic algorithm is used to determine the parameters of the fuzzy like PID controller according to the system dynamics. The proposed controller has been compared with the conventional PID controllers tuned by Ziegler-Nicholasmethod and Particle Swarm Optimization technique. The overshoots and settling times with the proposed Genetic-PID controller are superior to the outputs of the same characteristics of the conventional PID controllers. The effectiveness of the proposed schemes is confirmed via extensive study using single area and two areas load frequency control examples through the application of MATLAB-Simulink software.

M. A. Tammam; M. A. S. Aboelela; M. A. Moustafa; A. E. A. Seif

2012-01-01

91

An Investigation of ANN based PID Controllers using Three- Area Load Frequency Control in Interconnected Power System  

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Full Text Available The LFC problem, which is the major requirement in parallel operation of several interconnected systems, is one of very important subjects in power system studies. In this study, the power systems with threeareas connected through tie-lines are considered. The perturbation of frequencies at the areas and resulting tieline power flows arise due to unpredictable load variations that cause mismatch between the generated and demanded powers. The objective of LFC is to minimize the transient deviations and to provide zero steady state errors of these variables in a very short time. Variation in load frequency is an index for normal operation of power systems. When load Perturbation takes place anywhere in any area of the system, it will affect the frequency at other areas also. To control load frequency of power systems various controllers are used in different areas, but due to non-linearity's in the system components and alternators, these controllers cannot control the frequency quickly and efficiently. The simple neural networks can alleviate this difficulty. This paper deals with various controllers like proportional integral (PI), Proportional Integral Derivative (PID) andANN (Artificial neural network) tuned PID controller for three area load frequency control.The performance of the PID type controller with fixed gain, Conventional integral controller (PI) and ANN based PID (ANN-PID) controller have been compared through MATLAB Simulation results. Comparison of performance responses of integral controller & PID controller show that the ANN- PID controller has quite satisfactory generalization capability, feasibility and reliability, as well as accuracy in three area system. The qualitative and quantitative comparison have been carried out for Integral,PID and ANN- PID controllers. The superiority of the performance of ANN over integral and PID controller is highlighted.

V.Shanmuga Sundaram ,; Dr. T.Jayabharathi

2011-01-01

92

A High Order Sliding Mode Control with PID Sliding Surface: Simulation on a Torpedo  

CERN Multimedia

Position and speed control of the torpedo present a real problem for the actuators because of the high level of the system non linearity and because of the external disturbances. The non linear systems control is based on several different approaches, among it the sliding mode control. The sliding mode control has proved its effectiveness through the different studies. The advantage that makes such an important approach is its robustness versus the disturbances and the model uncertainties. However, this approach implies a disadvantage which is the chattering phenomenon caused by the discontinuous part of this control and which can have a harmful effect on the actuators. This paper deals with the basic concepts, mathematics, and design aspects of a control for nonlinear systems that make the chattering effect lower. As solution to this problem we will adopt as a starting point the high order sliding mode approaches then the PID sliding surface. Simulation results show that this control strategy can attain exce...

Rhif, Ahmed

2012-01-01

93

Implementation of PID (Proportional Integral Derivative) controller in numerical simulation program of static power converters; Implementacao do controlador do tipo PID em programa de simulacao numerica de conversores estaticos de potencia  

Energy Technology Data Exchange (ETDEWEB)

This paper presents the analysis and implementation of an algorithm for numerical simulation applied to static converter, using PWM modulation and PID (Proportional Integral Derivative) controller. A buck converter prototype is designed and the experimental results are compared to those of the simulation. (author) 5 refs., 7 figs.; e-mail: inep at inep.ufsc.br

Silva Junior, Pedro A. da; Selinke, Rubens A.; Martins, Denizar Cruz [Santa Catarina Univ., Florianopolis, SC (Brazil). Dept. de Engenharia Eletrica. Inst. de Eletronica de Potencia

1996-12-31

94

Comparative Performance Analysis between Fuzzy Logic Controller (FLC) and PID Controller for an Inverted Pendulum System  

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Full Text Available The idea of this paper is to compare the time-response performance characteristics between two controllers having different strategy for an inverted pendulum system. The main objective is to determine which control strategy brings the better results in comparative analysis with regard to pendulum’s angle and cart’s position of the system. The inverted pendulum system in fact a critical and challenging control problem, which continually moves away from a stable state. Two Control strategies for an Inverted pendulum system model are presented for stabilized controlling such as Proportional-Integral-Derivatives (PID) and Fuzzy Logic Controller (FLC) Controllers. Matlab Simulation has been performed on Simulink platform shows that both controllers successfully controls Multi-output Inverted pendulum system. However PID is more efficient and has a better time response characteristics than FLC control strategy.

Aleem Ahmed Khan; Kashan Hussain

2012-01-01

95

The Smith-PID Control of Three-Tank-System Based on Fuzzy Theory  

Directory of Open Access Journals (Sweden)

Full Text Available   According to the character of the volume-lag of the controlled process of three-tank-system, Smith predictor was adopted to compensate three-tank-system fuzzy adaptive control system. Fuzzy adaptive Smith predictive control system is composed with Smith predictor and fuzzy adaptive controller. The PID parameters were setting on line. This algorithm uses fuzzy adaptive PID control to improve the resistance ability to random disturbance and Smith predictive control to overcome the time-delay character of controlled object. Simulation results showed that this control algorithm has the advantages of strong adaptive ability and noise immunity.

Jianqiu Deng; Cui Hao; Cui Hao

2011-01-01

96

Comparison between PI and PID controllers used in UPFC control for power flow  

Energy Technology Data Exchange (ETDEWEB)

This paper compares features of PI and PID Controllers, the two most frequently used unified power flow controllers (UPFC) in transmission lines. These are Flexible AC Transmission Systems devices (FACTS) which are used in general to control the power flow and damp oscillations of power systems. These features enhance the capacity of existing transmission systems to carry energy, obviating the need to build new transmission lines while at the same time respecting safety, environmental, and economic constraints. The growing demand for energy has put pressure on the industry to develop appropriate methods for augmenting the efficacity and reliability of systems while operating within their various limitations. In conclusion, it was demonstrated that the PI controller response is better for power system stability but that in reactive power control the PI and PID controllers have similar performance. The efficiency of the UPFCs was also demonstrated using MATLAB/SIMULINK software.

Aghdam, Hossein Nasir [Department of Electrical Engineering, Ahar Branch, Islamic Azad University, Ahar (Iran, Islamic Republic of); email: h_nasir@iau-ahar.ac.ir; Kaheh, Meghdad [Department of Electrical Engineering, Majlesi Branch, Islamic Azad University, Majlesi (Iran, Islamic Republic of); email: kaheh.meghdad@gmail.com; Najafi, Babak [Department of Electrical Engineering, Germi Branch, Islamic Azad University, Germi (Iran, Islamic Republic of); email: ba.najafi@gmail.com4; Farhadi, Payam; Karimi, Mohammad [Department of Electrical Engineering, Parsabad Moghan Branch, Islamic Azad University, Young Researchers Club, Parsabad Moghan (Iran, Islamic Republic of); email: pfarhadi@iaupmogan.ac.ir; Karimi, Mohammad, email: mohammadkarimi62@gmail.com

2011-07-01

97

Research on Adaptive Fuzzy PID Synchronous Control Strategy of Double-Motor  

Directory of Open Access Journals (Sweden)

Full Text Available The double-motor synchronous control system is widely used in industrial field. Its performance plays an important role in production. Traditional PID controller parameters are difficult to tune when used in control system, as well as the control effect can not satisfy the requirement of producing process when the controller plant is complex non-linear system. In this paper, adaptive fuzzy PID which can tune the parameters on-line is introduced to apply in the double-motor synchronous control system. In MATLAB / SMULINK simulation environment, the speed of master motor is perfectly followed by slave motor, and high robustness and precision are obtained. The simulation results show that fuzzy logic PID control strategy has better performances than traditional controller.

Biao YU; Hui ZHU; Chi XUE

2011-01-01

98

Synthesis of PID-type controllers without parametric models: A graphical approach  

International Nuclear Information System (INIS)

This paper considers the problem of determining the set of all stabilizing proportional-integral-derivative (PID) type controllers without parametric models for any given linear time-invariant (LTI) plants. It is shown that the only information for designing is the frequency response data and the number of right-half-plane (RHP) poles of the plant, and all stabilizing domains in the parameter space of PID-type controllers are determined by the boundaries which are analytically described based on the technique of D-decomposition. The method can handle arbitrary order minimum phase, non-minimum phase, stable or unstable plants and particularly, plants that have zeros or poles on the imaginary axis. It is shown that the approach presented does not require any parametric models of plants and can be applied to a wide range of industrial applications, especially where plants parametric models (transfer function and state space) are not available or identification is difficult. Several examples illustrate the proposed method.

2008-01-01

99

Nonlinear adaptive PID control for greenhouse environment based on RBF network.  

UK PubMed Central (United Kingdom)

This paper presents a hybrid control strategy, combining Radial Basis Function (RBF) network with conventional proportional, integral, and derivative (PID) controllers, for the greenhouse climate control. A model of nonlinear conservation laws of enthalpy and matter between numerous system variables affecting the greenhouse climate is formulated. RBF network is used to tune and identify all PID gain parameters online and adaptively. The presented Neuro-PID control scheme is validated through simulations of set-point tracking and disturbance rejection. We compare the proposed adaptive online tuning method with the offline tuning scheme that employs Genetic Algorithm (GA) to search the optimal gain parameters. The results show that the proposed strategy has good adaptability, strong robustness and real-time performance while achieving satisfactory control performance for the complex and nonlinear greenhouse climate control system, and it may provide a valuable reference to formulate environmental control strategies for actual application in greenhouse production.

Zeng S; Hu H; Xu L; Li G

2012-01-01

100

Comparison between Conventional PID and Fuzzy Logic Controller for Liquid Flow Control: Performance Evaluation of Fuzzy Logic and PID Controller by Using MATLAB/Simulink  

Directory of Open Access Journals (Sweden)

Full Text Available Measuring the flow of liquids is a critical need in many industrial plants. In recent years, flow control has become a highly multi-disciplinary research activity encompassing theoretical, computational and experimental fluid dynamics. Fuzzy control is based on fuzzy logic-a logical system that is much closer in spirit to human thinking and natural language than traditional logical systems. During the past several years, fuzzy control has emerged as one of the most active and fruitful areas for research in the applications of fuzzy set theory, especially in the realm of industrial processes, which do not lend themselves to control by conventional methods because of a lack of quantitative data regarding the input-output relations. The fuzzy logic controller (FLC) based on fuzzy logic provides a means of converting a linguistic control strategy based on expert knowledge into an automatic control strategy. Fuzzy Logic controller has better stability, small overshoot, and fast response. In this Paper, performance analysis of the conventional PID controller and fuzzy logic controller has been done by the use of Matlab and Simulink and in the end comparison of various time domain parameters is done to prove that the fuzzy logic controller has small overshoot and fast response as compared to PID controller.

Gaurav; Amrit Kaur

2012-01-01

 
 
 
 
101

Demonstration of the improved PID method for the accurate temperature control of ADRs  

International Nuclear Information System (INIS)

Microcalorimeters require extreme stability (-bar 10?K) of thermal bath at low temperature (?100mK). We have developed a portable adiabatic demagnetization refrigerator (ADR) system for ground experiments with TES microcalorimeters, in which we observed residual temperature between aimed and measured values when magnet current was controlled with the standard Proportional, Integral, and Derivative control (PID) method. The difference increases in time as the magnet current decreases. This phenomenon can be explained by the theory of the magnetic cooling, and we have introduced a new functional parameter to improve the PID method. With this improvement, long-term stability of the ADR temperature about 10?K rms is obtained up to the period of ?15ks down to almost zero magnet current. We briefly describe our ADR system and principle of the improved PID method, showing the temperature control result. It is demonstrated that the controlled time of the aimed temperature can be extended by about 30% longer than the standard PID method in our system. The improved PID method is considered to be of great advantage especially in the range of small magnet current.

2006-04-15

102

Demonstration of the improved PID method for the accurate temperature control of ADRs  

Energy Technology Data Exchange (ETDEWEB)

Microcalorimeters require extreme stability (-bar 10{mu}K) of thermal bath at low temperature ({approx}100mK). We have developed a portable adiabatic demagnetization refrigerator (ADR) system for ground experiments with TES microcalorimeters, in which we observed residual temperature between aimed and measured values when magnet current was controlled with the standard Proportional, Integral, and Derivative control (PID) method. The difference increases in time as the magnet current decreases. This phenomenon can be explained by the theory of the magnetic cooling, and we have introduced a new functional parameter to improve the PID method. With this improvement, long-term stability of the ADR temperature about 10{mu}K rms is obtained up to the period of {approx}15ks down to almost zero magnet current. We briefly describe our ADR system and principle of the improved PID method, showing the temperature control result. It is demonstrated that the controlled time of the aimed temperature can be extended by about 30% longer than the standard PID method in our system. The improved PID method is considered to be of great advantage especially in the range of small magnet current.

Shinozaki, K. [Department of Physics, Tokyo Metropolitan University, 1-1 Minami Osawa, Hachioji, Tokyo 192-0397 (Japan)]. E-mail: shino@phys.metro-u.ac.jp; Hoshino, A. [Department of Physics, Tokyo Metropolitan University, 1-1 Minami Osawa, Hachioji, Tokyo 192-0397 (Japan); Ishisaki, Y. [Department of Physics, Tokyo Metropolitan University, 1-1 Minami Osawa, Hachioji, Tokyo 192-0397 (Japan); Mihara, T. [RIKEN, 2-1 Hirosawa, Wako, Saitama 351-0198 (Japan)

2006-04-15

103

PID controller auto-tuning based on process step response and damping optimum criterion.  

UK PubMed Central (United Kingdom)

This paper presents a novel method of PID controller tuning suitable for higher-order aperiodic processes and aimed at step response-based auto-tuning applications. The PID controller tuning is based on the identification of so-called n-th order lag (PTn) process model and application of damping optimum criterion, thus facilitating straightforward algebraic rules for the adjustment of both the closed-loop response speed and damping. The PTn model identification is based on the process step response, wherein the PTn model parameters are evaluated in a novel manner from the process step response equivalent dead-time and lag time constant. The effectiveness of the proposed PTn model parameter estimation procedure and the related damping optimum-based PID controller auto-tuning have been verified by means of extensive computer simulations.

Pavkovi? D; Polak S; Zorc D

2013-09-01

104

Simulation of Networked Control System based on Smith Compensator and Single Neuron Incomplete Differential Forward PID  

Digital Repository Infrastructure Vision for European Research (DRIVER)

In the networked control system with random time delay in forward and feedback channels, a kind of controller based on Smith compensator and signal neuron incomplete differential forward PID is presented. First, using root locus method and simulink simulation software, the ...

Haitao Zhang; Zhen Li

105

Optimización de señal de control en reguladores PID con arquitectura antireset Wind-Up  

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Full Text Available This paper shows the reader the methods of tuning PID controllers Kayser-Rajka (KR) and Astrom-Haglund (AH), with the aim of evaluatingtheir performance against some conventional methods like Ziegler-Nichols tuning (ZN). It also shows the method for improving the control signal based on the architecture Antireset Wind-Up.

Ilber Adonayt Ruge Ruge

2011-01-01

106

A new control scheme for PID load frequency controller of single-area and multi-area power systems.  

UK PubMed Central (United Kingdom)

A new control structure with a tuning method to design a PID load frequency controller for power systems is presented. Initially, the controller is designed for single area power system, then it is extended to multi-area case. The controller parameters are obtained by expanding controller transfer function using Laurent series. Relay based identification technique is adopted to estimate power system dynamics. Robustness studies on stability and performance are provided, with respect to uncertainties in the plant parameters. The proposed scheme ensures that overall system remains asymptotically stable for all bounded uncertainties and for system oscillations. Simulation results show the feasibility of the approach and the proposed method improves the load disturbance rejection performance significantly even in the presence of the uncertainties in plant parameters.

Padhan DG; Majhi S

2013-03-01

107

Adaptive PID-like Fuzzy Variable Structure Control for Uncertain MIMO Systems  

Digital Repository Infrastructure Vision for European Research (DRIVER)

In this study, the stability analysis of the PID-like adaptive fuzzy Sliding Model Controller (SMC) for a class of nonlinear uncertain MIMO systems is presented. The upper bounds of structured uncertainties and external disturbance are not needed to be known and approximated by a fuzzy inference sys...

Zhang Xizheng; Wang Yaonan

108

PI, PID and Fuzzy logic controller for Reactive Power and Harmonic Compensation  

Digital Repository Infrastructure Vision for European Research (DRIVER)

This article describes the proportional integral (PI), proportional integral derivative (PID) and fuzzy logic controller (FLC) based three phase shunt active power line conditioners (APLC) for the power-quality improvement such as reactive power and harmonic current compensation generated due to non...

Karuppanan, P.; Kanta Mahapatra, Kamala

109

Comparison of Energy Consumption in the Classical (PID) and Fuzzy Control of Foundry Resistance Furnace  

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Full Text Available Foundry resistance furnaces are thermal devices with a relatively large time delay in their response to a change in power parameters.Commonly used in automation classical PID controllers do not meet the requirements of high-quality control. Developed in recent years,fuzzy control theory is increasingly being used in various branches of economy and industry. Fuzzy controllers allow to introduce newdevelopments in control systems of foundry furnaces as well. Correctly selected fuzzy controller can significantly reduce energyconsumption in a controlled thermal process of heating equipment. The article presents a comparison of energy consumption by controlsystem of foundry resistance furnace, equipped with either a PID controller or fuzzy controller optimally chosen.

E. Zió?kowski; P. ?mierciak

2012-01-01

110

PID-I controller of charge coupled device-based tracking loop for fast-steering mirror  

Science.gov (United States)

We propose a simple PID (proportional integral differential)-I controller to improve the performance of a CCD-based (charge coupled device) control system for fast steering mirror, which consists of adding an integrator in series to a PID controller, resulting in two integrators in the control loop. The conditions for implementing the PID-I controller into the control system of the fast steering mirror are presented mainly in terms of the closed-loop stability and error attenuation. A model of CCD-based control loop is made to analyze the characteristics of the control loop. Although the error attenuation bandwidth with PID-I controller is a little smaller than that with an integral controller, the error attenuation at low frequency is greatly enhanced. The experimental results are in accordance with the theoretical analysis.

Tang, Tao; Ma, Jiaguang; Ren, Ge

2011-04-01

111

Simultaneous gains tuning in boiler/turbine PID-based controller clusters using iterative feedback tuning methodology.  

UK PubMed Central (United Kingdom)

Tuning a complex multi-loop PID based control system requires considerable experience. In today's power industry the number of available qualified tuners is dwindling and there is a great need for better tuning tools to maintain and improve the performance of complex multivariable processes. Multi-loop PID tuning is the procedure for the online tuning of a cluster of PID controllers operating in a closed loop with a multivariable process. This paper presents the first application of the simultaneous tuning technique to the multi-input-multi-output (MIMO) PID based nonlinear controller in the power plant control context, with the closed-loop system consisting of a MIMO nonlinear boiler/turbine model and a nonlinear cluster of six PID-type controllers. Although simplified, the dynamics and cross-coupling of the process and the PID cluster are similar to those used in a real power plant. The particular technique selected, iterative feedback tuning (IFT), utilizes the linearized version of the PID cluster for signal conditioning, but the data collection and tuning is carried out on the full nonlinear closed-loop system. Based on the figure of merit for the control system performance, the IFT is shown to deliver performance favorably comparable to that attained through the empirical tuning carried out by an experienced control engineer.

Zhang S; Taft CW; Bentsman J; Hussey A; Petrus B

2012-09-01

112

Controlling Chaos and Voltage Collapse using Layered Recurrent Network-based PID-SVC in Power Systems  

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Full Text Available Chaos and voltage collapse occurred in critical power systems due to disturbing of energy. PID-SVC layered reccurrent neural network-based (LRN-based PID-SVC) was proposed to solve this problem. A PID was used to control chaos and voltage collapse. Then, an SVC LRN-based to maintan the load voltage. By using the proposed controller, chaos and voltage collapse were able to suppress and maintain the load voltage around the setting value. Furthemore, the proposed controller gives better response than PI-SVC controller.

I Made Ginarsa; Agung Budi Muljono; I Made Ari Nrartha

2013-01-01

113

Simulation of Networked Control System based on Smith Compensator and Single Neuron Incomplete Differential Forward PID  

Directory of Open Access Journals (Sweden)

Full Text Available In the networked control system with random time delay in forward and feedback channels, a kind of controller based on Smith compensator and signal neuron incomplete differential forward PID is presented. First, using root locus method and simulink simulation software, the influences of network’s time delay on the system stability and dynamic performance are analyzed. Then, combined with incomplete differential forward PID control algorithm, Smith compensation model is established. Compared with existing Smith compensator, the proposed control model is easy to be implemented, and can also get better control performance in the case of miss-matching compensator model. Finally, the simulation research on a DC motor is done, and the simulation results show the effectiveness of the proposed method.

Haitao Zhang; Zhen Li

2011-01-01

114

Novel Resistorless Mixed-Mode PID Controller with Improved Low-Frequency Performance  

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Full Text Available This paper introduces a new resistorless mixed-mode proportional-integral-derivative (PID) controller. It employs six simple transconductors and only two grounded capacitors. The proposed PID controller offers several advantageous features of resistorless configuration, use of grounded capacitors, independent electronic-tuning characteristic of its parameters, and mixed-mode operation such as current, transimpedance, transadmittance, and voltage modes. The parasitic element effects of the transconductors on the proposed controller are investigated and the improved low-frequency performance of the proposed controller is then discussed. As applications, the proposed controller is demonstrated on two closed-loop systems. The PSPICE simulations with TSMC 0.18µm CMOS process and ±0.9V supply voltage verify the theoretical analysis.

V. Silaruam; A. Lorsawatsiri; C. Wongtaychatham

2013-01-01

115

Topology Control Research of Monitor Network Based on PID of Self-adaptive Hierarchical Genetic Algorithm  

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Full Text Available Due to the environment of coal mine underground is poor, need to establish a stable and reliable network topology quickly during building the monitoring network and the topology must has reconfigurability, connectivity and reliability. For the above request, the topology control algorithm for wireless sensor network based on the PID of self-adapt hierarchical genetic (SAHGA-PID) in the coal mine underground was proposed. Based on the adaptive genetic algorithm, introduced hierarchical search strategy, divided the solution space into two-layers and improved the optimization efficiency. This algorithm combined biological intelligence algorithm to closed-loop control theory, overcame the shortcoming of slow convergence and instability of the existing topology control algorithm and improved the energy efficiency and convergence rate. The simulations and results show that, this algorithm can achieve the goal of optimizing the topology control quickly and effectively.

Dian-Xu Ruan; Xiao-Guang Zhang

2013-01-01

116

????????????????????????? : (Model based control design for refrigeration systems)  

DEFF Research Database (Denmark)

This paper presents model based control design for refrigeration systems. The refrigeration systems are traditionally controlled using relay and PID controller. These control problems are strong interactions and disturbances in the systems and these problems decrease control performance. This paper proposes a new control strategy that uses disturbance attenuation control with PID controllers. Simulation results show the effectiveness of the proposed method comparing conventional method.

Kawai, Fukiko; Rasmussen, Henrik

2013-01-01

117

Temperature control of a steam generator by means of an hybrid system PID-RLC; Control de las temperaturas de un generador de vapor mediante un sistema hibrido PID-RLC  

Energy Technology Data Exchange (ETDEWEB)

A description is made of the design and evaluation of an hybrid control system, formed by a quadratic gaussian linear regulator (QLR) and proportional integral derivative (PID) type regulators. This scheme is used to control the reheater and secondary superheater steam temperatures of a steam generator model with a maximum capacity of 2,150,000 pounds per hour. Once applied to the model of a 300 MW steam power plant, this system showed better results than the traditional schemes and inclusively better than some modern control schemes. This fact characterizes it as a high potential system to be applied to steam power plants. [Espanol] Se describe el diseno y la evaluacion de un sistema de control hibrido, formado por un regulador lineal cuadratico gaussiano (RLC) y reguladores tipo proporcional integral derivativo (PID). Este esquema se utiliza para controlar las temperaturas de vapor del recalentador y sobrecalentador secundario del modelo de un generador de vapor con capacidad maxima de 2,150,000 libras por hora. Una vez aplicado al modelo de una unidad termoelectrica de 300 MW, este sistema produjo mejores resultados que los esquemas tradicionales e incluso mejores que algunos esquemas de control moderno. Esto lo caracteriza como un sistema con un alto potencial para aplicarse a unidades termoelectricas.

Palomares Gonzalez, Daniel; Garcia Mendoza, Raul [Instituto de Investigaciones Electricas, Cuernavaca (Mexico)

1990-12-31

118

HYBRID MODELING OF POWER PLANT AND CONTROLLING USING FUZZY P+ID WITH APPLICATION  

Directory of Open Access Journals (Sweden)

Full Text Available This paper provides a method one can model manufacturing processes in hybrid systems framework utilizing simple bond graph to determine the flow of events and differential equation models that describe the system dynamics. Controlling of these systems can be easy to develop. “Modeling and Simulation of thermal Power generation Station for power control” will be presented by using hybrid bond graph approach. This work includes the structure and components of the thermal electrical power generation stations and the importance of hybrid bond graph to model and control complex hybrid system, controlling of power plant will be presented by using Fuzzy P+ID controller.

Marwa M. Abdulmoneim; Magdy A.S. Aboelela; Hassen T. Dorrah

2012-01-01

119

Control of a production-inventory system using a pid and demand prediction based controller  

Directory of Open Access Journals (Sweden)

Full Text Available The need of reducing inventory levels as much as possible without loosing sales opportunities is an important goal not only for small but also for mid-size and large companies, on account of the high costs associated with large inventory stocks. In general, the performance of inventory systems is also affected by the Bullwhip effect caused, among other factors, by non-zero lead times. This paper proposes an automatic pipeline feedback order-based production control system (APIOBPCS) considering a demand with cyclic and stochastic components. The dynamics and delays of the production process are modeled as a pure delay. The control system structure consists of a PID controller and demand prediction based on an Extended Kalman Filter (EKF). The main objective of the controller is to stabilize and regulate the inventory levels about a desired set-point. The extended Kalman Filter estimates the parameters of a Volterra time-series model to predict future values of the demand. The control system is evaluated by simulations, showing a good performance and better results than those achieved by using traditional inventory control techniques.

S. Tosetti; D. Patiño; F. Capraro; A. Gambier

2009-01-01

120

PID temperature controller and heating assembly for superheated liquid neutron sensor  

International Nuclear Information System (INIS)

Superheated drop detector developed by DL, Jodhpur works on bubble chamber principle. Such type of detector for personal neutron dosimetry is commercially available. The above neutron dosimeter is temperature dependent and it is quite difficult to compensate for temperature in extreme environment. An attempt is made to develop a PID temperature controller along with heating assembly for neutron survey meter so as to cover the vide neutron energy response. The details of temperature controller circuit and heating assembly are highlighted in the present paper with the results obtained using R-114 sensor liquid. (author)

2008-01-01

 
 
 
 
121

UAV Controller Based on Adaptive Neuro-Fuzzy Inference System and PID  

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Full Text Available ANFIS is combining a neural network with a fuzzy system results in a hybrid neuro-fuzzy system, capable of reasoning and learning in an uncertain and imprecise environment. In this paper, an adaptive neuro-fuzzy inference system (ANFIS) is employed to control an unmanned aircraft vehicle (UAV).  First, autopilots structure is defined, and then ANFIS controller is applied, to control UAVs lateral position. The results of ANFIS and PID lateral controllers are compared, where it shows the two controllers have similar results. ANFIS controller is capable to adaptation in nonlinear conditions, while PID has to be tuned to preserves proper control in some conditions. The simulation results generated by Matlab using Aerosim Aeronautical Simulation Block Set, which provides a complete set of tools for development of six degree-of-freedom. Nonlinear Aerosonde unmanned aerial vehicle model with ANFIS controller is simulated to verify the capability of the system. Moreover, the results are validated by FlightGear flight simulator.

Ali Moltajaei Farid

2013-01-01

122

Root Locus Based Autopilot PID’s Parameters Tuning for a Flying Wing Unmanned Aerial Vehicle  

Directory of Open Access Journals (Sweden)

Full Text Available This paper depicts the applications of classical root locus based PID control to the longitudinal flight dynamics of a Flying Wing Unmanned Aerial Vehicle, P15035, developed by Monash Aerobotics Research Group in the Department of Electrical and Computer Systems Engineering, Monash University, Australia. The challenge associated with our UAV is related to the fact that all of its motions and attitude variables are controlled by two independently actuated ailerons, namely elevons, as its primary control surfaces along with throttle, in contrast to most conventional aircraft which have rudder, aileron and elevator. The reason to choose PID control is mainly due to its simplicity and availability. Since our current autopilot, MP2028, only provides PID control law for its flight control, our design result can be implemented straight away for PID parameters’ tuning and practical flight controls. Simulations indicate that a well-tuned PID autopilot has successfully demonstrated acceptable closed loop performances for both pitch and altitude loops. In general, full PID control configuration is the recommended control mode to overcome the adverse impact of disturbances. Moreover, by utilising this control scheme, overshoots have been successfully suppressed into a certain reasonable level. Furthermore, it has been proven that exact pole-zero cancellations by employing Derivative control configuration in both pitch and altitude loop to eliminate the effects of integral action contributed by open loop transfer function of elevon-average-to- pitch as well as pitch- to- pitch- rate is impractical.

Fendy Santoso; Ming Liu; Gregory Egan

2008-01-01

123

Speed Control of an Autonomous Mobile Robot: Comparison between a PID Control and a Control Using Fuzzy Logic  

Scientific Electronic Library Online (English)

Full Text Available Abstract in english An Autonomous Mobile Robot battery driven, with two traction wheels and a steering wheel is being developed. This Robot central control is regulated by an IPC, which controls every function of security, steering, positioning localization and driving. Each traction wheel is operated by a DC motor with independent control system. This system is made up of a chopper, an encoder and a microcomputer. The IPC transmits the velocity values and acceleration ramp references to the (more) PIC microcontrollers. As each traction wheel control is independent, it's possible to obtain different speed values for each wheel. This process facilities the direction and drive changes. Two different strategies for speed velocity control were implemented; one works with PID, and the other with fuzzy logic. There were no changes in circuits and feedback control, except for the PIC microcontroller software. Comparing the two different speed control strategies the results were equivalent. However, in relation to the development and implementation of these strategies, the difficulties were bigger to implement the PID control.

Silveira, P. E.; Souza Jr., R. de; Biazotto, V. M.

2002-05-01

124

Speed Control of an Autonomous Mobile Robot: Comparison between a PID Control and a Control Using Fuzzy Logic  

Directory of Open Access Journals (Sweden)

Full Text Available An Autonomous Mobile Robot battery driven, with two traction wheels and a steering wheel is being developed. This Robot central control is regulated by an IPC, which controls every function of security, steering, positioning localization and driving. Each traction wheel is operated by a DC motor with independent control system. This system is made up of a chopper, an encoder and a microcomputer. The IPC transmits the velocity values and acceleration ramp references to the PIC microcontrollers. As each traction wheel control is independent, it's possible to obtain different speed values for each wheel. This process facilities the direction and drive changes. Two different strategies for speed velocity control were implemented; one works with PID, and the other with fuzzy logic. There were no changes in circuits and feedback control, except for the PIC microcontroller software. Comparing the two different speed control strategies the results were equivalent. However, in relation to the development and implementation of these strategies, the difficulties were bigger to implement the PID control.

Silveira P. E.; Souza Jr. R. de; Biazotto V. M.

2002-01-01

125

Improved model reduction and tuning of fractional-order PI(?)D(?) controllers for analytical rule extraction with genetic programming.  

UK PubMed Central (United Kingdom)

Genetic algorithm (GA) has been used in this study for a new approach of suboptimal model reduction in the Nyquist plane and optimal time domain tuning of proportional-integral-derivative (PID) and fractional-order (FO) PI(?)D(?) controllers. Simulation studies show that the new Nyquist-based model reduction technique outperforms the conventional H(2)-norm-based reduced parameter modeling technique. With the tuned controller parameters and reduced-order model parameter dataset, optimum tuning rules have been developed with a test-bench of higher-order processes via genetic programming (GP). The GP performs a symbolic regression on the reduced process parameters to evolve a tuning rule which provides the best analytical expression to map the data. The tuning rules are developed for a minimum time domain integral performance index described by a weighted sum of error index and controller effort. From the reported Pareto optimal front of the GP-based optimal rule extraction technique, a trade-off can be made between the complexity of the tuning formulae and the control performance. The efficacy of the single-gene and multi-gene GP-based tuning rules has been compared with the original GA-based control performance for the PID and PI(?)D(?) controllers, handling four different classes of representative higher-order processes. These rules are very useful for process control engineers, as they inherit the power of the GA-based tuning methodology, but can be easily calculated without the requirement for running the computationally intensive GA every time. Three-dimensional plots of the required variation in PID/fractional-order PID (FOPID) controller parameters with reduced process parameters have been shown as a guideline for the operator. Parametric robustness of the reported GP-based tuning rules has also been shown with credible simulation examples.

Das S; Pan I; Das S; Gupta A

2012-03-01

126

Improved model reduction and tuning of fractional-order PI(?)D(?) controllers for analytical rule extraction with genetic programming.  

Science.gov (United States)

Genetic algorithm (GA) has been used in this study for a new approach of suboptimal model reduction in the Nyquist plane and optimal time domain tuning of proportional-integral-derivative (PID) and fractional-order (FO) PI(?)D(?) controllers. Simulation studies show that the new Nyquist-based model reduction technique outperforms the conventional H(2)-norm-based reduced parameter modeling technique. With the tuned controller parameters and reduced-order model parameter dataset, optimum tuning rules have been developed with a test-bench of higher-order processes via genetic programming (GP). The GP performs a symbolic regression on the reduced process parameters to evolve a tuning rule which provides the best analytical expression to map the data. The tuning rules are developed for a minimum time domain integral performance index described by a weighted sum of error index and controller effort. From the reported Pareto optimal front of the GP-based optimal rule extraction technique, a trade-off can be made between the complexity of the tuning formulae and the control performance. The efficacy of the single-gene and multi-gene GP-based tuning rules has been compared with the original GA-based control performance for the PID and PI(?)D(?) controllers, handling four different classes of representative higher-order processes. These rules are very useful for process control engineers, as they inherit the power of the GA-based tuning methodology, but can be easily calculated without the requirement for running the computationally intensive GA every time. Three-dimensional plots of the required variation in PID/fractional-order PID (FOPID) controller parameters with reduced process parameters have been shown as a guideline for the operator. Parametric robustness of the reported GP-based tuning rules has also been shown with credible simulation examples. PMID:22036301

Das, Saptarshi; Pan, Indranil; Das, Shantanu; Gupta, Amitava

2011-10-27

127

A PID Positioning Controller with a Curve Fitting Model Based on RFID Technology  

Directory of Open Access Journals (Sweden)

Full Text Available The global positioning system (GPS) is an important research topic to solve outdoor positioning problems, but GPSis unable to locate objects accurately and precisely indoors. Some available systems apply ultrasound or opticaltracking. This paper presents an efficient proportional-integral-derivative (PID) controller with curve fitting model formobile robot localization and position estimation which adopts passive radio frequency identification (RFID) tags ina space. This scheme is based on a mobile robot carries an RFID reader module which reads the installed low-costpassive tags under the floor in a grid-like pattern. The PID controllers increase the efficiency of captured RFID tagsand the curve fitting model is used to systematically identify the revolutions per minute (RPM) of the motor. Wecontrol and monitor the position of the robot from a remote location through a mobile phone via Wi-Fi and Bluetoothnetwork. Experiment results present that the number of captured RFID tags of our proposed scheme outperformsthat of the previous scheme.

Young-Long Chen; Zhi-Rong Chen

2013-01-01

128

A Control Design for Grinding Systems with Feedforward Compensation  

Directory of Open Access Journals (Sweden)

Full Text Available The object of the present study is to design acontrol system for milling systems. An analyze of thedynamic behavior is described, aimed at designing acontrol system. The control system that is presenteduses PID control with feedforward compensation.

COSTEA Claudiu Raul

2012-01-01

129

Supervision and c-Means Clustering of PID Controllers for a Solar Power Plant  

UK PubMed Central (United Kingdom)

A hierarchical control strategy consisting on a supervisory switching of PIDcontrollers, simpli#ed using the c-Means clustering technique, is developed andapplied to the distributedcollector #eld of a solar power plant.The main characteristic of this solar plant is that the primary energy source,the solar radiation, can not be manipulated. It varies throughout the day, causingchanges in plant dynamics conducting to distinct main several operating points.To guaranteegoodperformances in all operating points, a local PID controller istunedtoeach operating point and a supervisory strategy is proposed and appliedto switch among these controllers accordingly to the actual measuredconditions.1The experiments were carried out within the project "InnovativeTraining Horizonsin Applied Solar Thermal and Chemical Technologies" #C. N.:ERBFMGECT950023#supported by the European Union Program "Training and Mobility of Researchers" andpromoted by CIEMAT-IER. The authors would like to exp...

Jorge Henriques; Alberto Cardoso; Antonio Dourado

130

Stability of PID-Controlled Linear Time-Delay Feedback Systems  

CERN Multimedia

The stability of feedback systems consisting of linear time-delay plants and PID controllers has been investigated for many years by means of several methods, of which the Nyquist criterion, a generalization of the Hermite-Biehler Theorem, and the root location method are well known. The main purpose of these researches is to determine the range of controller parameters that allow stability. Explicit and complete expressions of the boundaries of these regions and computation procedures with a finite number of steps are now available only for first-order plants, provided with one time delay. In this note, the same results, based on Pontryagin's studies, are presented for arbitrary-order plants.

Martelli, Gianpasquale

2008-01-01

131

PID control of brushless DC motor and robot trajectory planning simulation with MATLAB®/SIMULINK®  

Digital Repository Infrastructure Vision for European Research (DRIVER)

This report presents a PID model of a brushless dc (BLDC) motor and a robot trajectory planning and simulation. A short description of the brushless dc motor is given. For this work, mathematical models were developed and subsequently used in getting the simulation parameters. The PID model is accom...

Oguntoyinbo, Oludayo

132

Thermal response simulation for tuning PID controllers in a 1016 mm guarded hot plate apparatus.  

Science.gov (United States)

A mathematical model has been developed and used to simulate the controlled thermal performance of a large guarded hot-plate apparatus. This highly specialized apparatus comprises three interdependent components whose temperatures are closely controlled in order to measure the thermal conductivity of insulation materials. The simulation model was used to investigate control strategies and derive controller gain parameters that are directly transferable to the actual instrument. The simulations take orders-of-magnitude less time to carry out when compared to traditional tuning methods based on operating the actual apparatus. The control system consists primarily of a PC-based PID control algorithm that regulates the output voltage of programmable power amplifiers. Feedback parameters in the form of controller gains are required for the three heating circuits. An objective is to determine an improved set of gains that meet temperature control criteria for testing insulation materials of interest. The analytical model is based on aggregated thermal capacity representations of the primary components and includes the same control algorithm as used in the actual hot-plate apparatus. The model, accounting for both thermal characteristics and temperature control, was validated by comparisons with test data. The tuning methodology used with the simulation model is described and results are presented. The resulting control algorithm and gain parameters have been used in the actual apparatus without modification during several years of testing materials over wide ranges of thermal conductivity, thickness, and insulation resistance values. PMID:21377157

Thomas, William C; Zarr, Robert R

2011-03-04

133

Thermal response simulation for tuning PID controllers in a 1016 mm guarded hot plate apparatus.  

UK PubMed Central (United Kingdom)

A mathematical model has been developed and used to simulate the controlled thermal performance of a large guarded hot-plate apparatus. This highly specialized apparatus comprises three interdependent components whose temperatures are closely controlled in order to measure the thermal conductivity of insulation materials. The simulation model was used to investigate control strategies and derive controller gain parameters that are directly transferable to the actual instrument. The simulations take orders-of-magnitude less time to carry out when compared to traditional tuning methods based on operating the actual apparatus. The control system consists primarily of a PC-based PID control algorithm that regulates the output voltage of programmable power amplifiers. Feedback parameters in the form of controller gains are required for the three heating circuits. An objective is to determine an improved set of gains that meet temperature control criteria for testing insulation materials of interest. The analytical model is based on aggregated thermal capacity representations of the primary components and includes the same control algorithm as used in the actual hot-plate apparatus. The model, accounting for both thermal characteristics and temperature control, was validated by comparisons with test data. The tuning methodology used with the simulation model is described and results are presented. The resulting control algorithm and gain parameters have been used in the actual apparatus without modification during several years of testing materials over wide ranges of thermal conductivity, thickness, and insulation resistance values.

Thomas WC; Zarr RR

2011-07-01

134

Optimización de señal de control en reguladores PID con arquitectura antireset Wind-Up/ Control signal optimization for PID regulators based on a Wind-Up anti-reset architecture  

Scientific Electronic Library Online (English)

Full Text Available Abstract in spanish El presente artículo muestra al lector los métodos de sintonización de controladores PID Kayser-Rajka (KR) y Astrom-Haglund (AH), con el ánimo de evaluar su desempeño frente a algunos métodos convencionales de sintonización como Ziegler-Nichols (ZN). Además, se muestra el método de mejoramiento de la señal de control basado en la arquitectura Antireset Wind-Up. Abstract in english This paper shows the reader the methods of tuning PID controllers Kayser-Rajka (KR) and Astrom-Haglund (AH), with the aim of evaluating their performance against some conventional methods like Ziegler-Nichols tuning (ZN). It also shows the method for improving the control signal based on the architecture Antireset Wind-Up.

Ruge Ruge, Ilber Adonayt

2011-12-01

135

An Implementation and Comparative Analysis of PID Controller and their Auto tuning method Considering uncertainty for the Robust Control of Concentration in CSTR  

Directory of Open Access Journals (Sweden)

Full Text Available All the industrial process applications require solutions of a specific chemical strength of the chemicals or fluids considered for analysis. Such specific concentrations are achieved by mixing a full strength solution with water in the desired proportions. In this paper the control of concentration of one chemical with the help of other has been analyzed. This paper features the auto tuning technique of PID controller and is adopted for more reliable and robust control action considering uncertainty in the form of disturbance and load. In this paper, the comparison of the conventional PID and auto tuning is clarified.

Er. Farhad Aslam; Er. Lava Kumar Sinha; Dr. Dipak Ranjan Jana

2011-01-01

136

New Algorithm for the Smoothing Speed Control of Induction Motor in Electric Car based on Self-Tuning Parameter PID-Fuzzy Logic  

Directory of Open Access Journals (Sweden)

Full Text Available Driving system of electric car for low speed has a performance of controller that is not easily set up on large span so it does not give a comfort to passengers. The study has been tested in the bumpy road conditions, by providing disturbances in the motor load, it is to describe the condition of the road. To improve the system performance, the speed and torque controller was applied using Field Oriented Control (FOC) method. In this method, On-Line Proportional Integral Derivative Fuzzy Logic Controller (PID-FLC) is used to give dynamic response to the change of speed and maximum torque on the electric car and this results the smooth movement on every change of car performance both in fast and slow movement when breaking action is taken. Optimization of membership functions in Fuzzy PID controller is required to obtain a new PID parameter values which is done in autotuning in any changes of the input or disturbance. PID parameter tuning in this case using the Ziegler-Nichols method based on frequency response. The mechanism is done by adjusting the PID parameters and the strengthening of the system output. The test results show that the controller Fuzzy Self-Tuning PID appropriate for Electric cars because they have a good response about 0.85% overshoot at to changes in speed and braking of electric cars.

Dedid Cahya Happyanto; Soebagio Soebagio; Mauridhi Hery Purnomo

2012-01-01

137

Modelling and Controller Design of Inverted Pendulum  

Directory of Open Access Journals (Sweden)

Full Text Available In this paper modeling of an inverted pendulum has been done and then three different controllers (PID& SFB, LQR) have been used for stabilization of the pendulum. The proposed system extends classical invertedpendulum by incorporating two moving masses. The motion of two masses that slide along the horizontal plane iscontrollable .The results of computer simulation for the system with Proportional, Integral and Derivative (PID) &State Feedback Controllers are shown. Main focus is to derive the mathematical model and the analysis of itssystem performance, then design a LQR controller in order to get better control.

Mr.Pankaj Kumar,Mr. KunalChakraborty,Mr. RabiRanjan Mukherjee,Mr.SuvobratraMukherjee

2013-01-01

138

Qualitative vs. quantitative data: Controls on the accuracy of PID field screening in petroleum contamination assessment applications  

International Nuclear Information System (INIS)

The use of photoionization detectors (PIDs) for field screening of soils for volatile organic contaminants has become a standard industry practice. PID screening data is generally utilized as a qualitative basis for selection of samples for laboratory analysis to quantify concentrations of specific contaminants of concern. Both qualitative field screening data and quantitative laboratory analytical data were reviewed for more than 100 hydrogeologic assessment sites in Ohio to evaluate controls on the effectiveness of field screening data. Assessment data evaluated was limited to sites at which the suspected contaminant source was a gasoline underground storage tanks system. In each case, a 10.0 eV (or greater) PID calibrated for benzene was used to screen soils which were analyzed for benzene, toluene, ethylbenzene and xylene (BTEX) by SW 846 method 8020. Controls on field screening which were evaluated for each site included (1) soil classification, (2) soil moisture, (3) weather conditions, (4) background levels, (5) equipment quality, (6) screening methodology, and (7) laboratory QA/QC. Statistical data analysis predictably indicated a general overestimate of total BTEX levels based on field screening (gasoline is approximately 25 weight percent BTEX). However, data locally indicated cases of both significant (i.e., more than an order of magnitude difference) over- and under-estimation of actual BTEX concentrations (i.e., quantitative laboratory data) by field screening data.

1995-01-01

139

A robust PID controller based on imperialist competitive algorithm for load-frequency control of power systems.  

UK PubMed Central (United Kingdom)

A new PID controller for resistant differential control against load disturbance is introduced that can be used for load frequency control (LFC) application. Parameters of the controller have been specified by using imperialist competitive algorithm (ICA). Load disturbance, which is due to continuous and rapid changes of small loads, is always a problem for load frequency control of power systems. This paper introduces a new method to overcome this problem that is based on filtering technique which eliminates the effect of this kind of disturbance. The object is frequency regulation in each area of the power system and decreasing of power transfer between control areas, so the parameters of the proposed controller have been specified in a wide range of load changes by means of ICA to achieve the best dynamic response of frequency. To evaluate the effectiveness of the proposed controller, a three-area power system is simulated in MATLAB/SIMULINK. Each area has different generation units, so utilizes controllers with different parameters. Finally a comparison between the proposed controller and two other prevalent PI controllers, optimized by GA and Neural Networks, has been done which represents advantages of this controller over others.

Shabani H; Vahidi B; Ebrahimpour M

2013-01-01

140

Design of self-tuning PID power system stabilizer for multimachine power systems  

Energy Technology Data Exchange (ETDEWEB)

A self-tuning PID (proportional-integral-derivative) power system stabilizer (PSS) is presented for improving the dynamic stability of a multimachine power system over a wide range of operating conditions. In order to maintain good damping characteristic when there is a drastic change in system operating condition, the gain settings are adapted in real time based on the continuously measured system inputs and outputs. The proposed self-tuning stabilizer has a decentralized structure and only local measurements within each generating units are required for the adaptation process. The effectiveness of the proposed stabilizer is demonstrated by an example.

Wu, C.J.; Hsu, Y.Y.

1988-08-01

 
 
 
 
141

OPTIMAL CONTROL OF INVERTED PENDULUM BASED ON TWO PID AND LQR ARRANGEMENT AND IMPROVED BP NEURAL NETWORK  

Directory of Open Access Journals (Sweden)

Full Text Available BP Neural Network has a longer training time and a slow convergence. To deal with the defects of BP Neural Network a modified BP algorithm is proposed in the paper. The algorithm is applied for the control of Inverted Pendulum, a highly non linear system inherently being open loop unstable. Levenberg-Marquardt algorithm is used for the training purpose. The training samples are being collected by a two PID and one LQR arrangement. The simulation results prove that the modified BP algorithm for inverted pendulum control gives better efficiency, lesser training time and faster convergence.

RASHMITA KHARE, M. J. NIGAM

2013-01-01

142

Status of LHD control system design  

International Nuclear Information System (INIS)

The present status of LHD (Large Helical Device) control system design is described, emphasizing on the plasma operation modes, the architecture of the LHD control system, the real-time plasma feedback system with PID or Fuzzy controllers and the construction schedule of the LHD control system. The conceptual and designs are under way taking flexible and reliable operations for physics experiments into account. (author)

1991-01-01

143

Status of LHD control system design  

International Nuclear Information System (INIS)

The present status of LHD (Large Helical Device) control system design is described, emphasizing on the plasma operation modes, the architecture of the LHD control system, the real-time plasma feedback system with PID or Fuzzy controllers and the construction schedule of the LHD control system. The conceptual and detailed designs are under way taking flexible and reliable operations for physics experiments into account. (author)

1992-01-01

144

Effective Teaching Learning Process for PID Controller Based on Experimental Setup with LabVIEW  

Directory of Open Access Journals (Sweden)

Full Text Available This paper presents low cost general architecture of experiments for dc motor speed control. In order to provide student a more vivid understanding of control system theory which introduces them to Proportional-Integral-Derivative control and design, an experimental teaching control system of dc motor speed control is developed based on graphical programming software LabVIEW. Pulse Width Modulation (PWM) technique is employed to control motor speed.

Komal Sampatrao Patil; D.R.Patil

2013-01-01

145

Analytical determination of PID coefficients for temperature and humidity control during cooling and dehumidifying by compressor and evaporator fan speed variation  

Energy Technology Data Exchange (ETDEWEB)

A linearized analysis of temperature and relative humidity control using proportional-integral-differential (PID) controls to vary compressor motor speed and evaporator fan speed enables analytical determination of suitable PID coefficients. The PID coefficients are related to refrigeration system performance parameters and the volume of the conditioned space. Analytical determination of coefficients may eliminate or supplement trial-and-error methods. System response characteristics--damping ratios and periods--are related to PID coefficients, sampling intervals, performance parameters of a refrigeration system, and the volume of a conditioned space. Two control strategies are possible in order to control space temperature and relative humidity simultaneously. One strategy controls temperature by varying compressor speed and controls relative humidity by varying evaporator fan speed. The other strategy controls temperature by varying evaporator fan speed and controls relative humidity by varying compressor fan speed The first strategy was successfully implemented experimentally as well as by simulation. The second strategy was not successfully implemented due to an adverse interaction between the two control systems.

Krakow, K.I.; Lin, S.; Zeng, Z.S. [Concordia Univ., Montreal, Quebec (Canada). Dept. of Mechanical Engineering

1995-08-01

146

New design deforming controlling system of the active stressed lap  

Science.gov (United States)

A 450mm diameter active stressed lap has been developed in NIAOT by 2003. We design a new lap in 2007. This paper puts on emphases on introducing the new deforming control system of the lap. Aiming at the control characteristic of the lap, a new kind of digital deforming controller is designed. The controller consists of 3 parts: computer signal disposing, motor driving and force sensor signal disposing. Intelligent numeral PID method is applied in the controller instead of traditional PID. In the end, the result of new deformation are given.

Ying, Li; Wang, Daxing

2008-07-01

147

The design of the MISO Model Predictive Controller for Bioreactor  

Directory of Open Access Journals (Sweden)

Full Text Available Bioprocesses have the inherent characteristics of high nonlinearity, parameter uncertainty and information imperfection. These specific natures may cause some difficulties in control. Jacobian linearization method was used in this paper to linearize the bioreactor model firstly, and then a Multiple-input and single output (MISO) model predictive controller was designed for the reactor. PID controller and fuzzy-PID controller was also introduced to compare with the MPC controller. Simulation results prove that the model predictive control has several advantages over the other controls for bioreactors.

FAN Liping; ZHANG Jun; HUANG Xing; HUANG Dong

2012-01-01

148

Neural Network Pid Control of a Distributed Power Generation System Based on Renewable Energy  

Directory of Open Access Journals (Sweden)

Full Text Available This study proposed a new energy control strategy for a distributed power generation system based on renewable. A mathematical model of the system was built based on a vector-controlled induction machine driving a flywheel. The BP Neural network control method was designed in the system in order to regulate DC Bus voltage, which is the object of the system. The experimental results on a wind simulator and flywheel based system verified that proposed energy complementary control can satisfactorily regulate the power of the storage unit to store and release energy and thus to maintain a steady DC voltage from the distributed power generation system.

Jian Wang; Long-yun Kang; Bing-Gang Cao

2005-01-01

149

Research and Application of Fuzzy Control in Boiler Combustion System Based on ACA  

Directory of Open Access Journals (Sweden)

Full Text Available In the complex control processes of the industrial boiler combustion system with non-linear, time-varying and multivariable, aim at the original control parameters fixed, slow response, delay regulation and other problems, this paper introduces a control method that combines ant colony algorithm with fuzzy PID control, improves the design of fuzzy control rules table and optimizes the PID control parameters. Simulation results show that this control scheme is superior to conventional PID control and fuzzy PID control.

Chen Wu; Guohuan Lou; Pengjie Zhang

2011-01-01

150

Regulación de la temperatura del vapor sobrecalentado en un generador de vapor BKZ-340-140-29M de 100 MW mediante un control PID 2-GdL y filtraje de la medida/ Temperature regulation of the steam overheated in a boiler BKZ-340-140-29M of 100 MW using 2-DoF PID control and measure filtering  

Scientific Electronic Library Online (English)

Full Text Available Abstract in spanish En este artículo se presenta una mejora del lazo de regulación de la temperatura del vapor sobrecalentado en un generador de vapor BKZ-340-140-29M de 100 MW. El estudio se realiza en la Central Termoeléctrica Máximo Gómez. La propuesta consiste en un controlador PID con una estructura de dos grados de libertad y filtraje de la medida. El diseño, que incluye un criterio de robustez, tiene como objetivo fundamental la atenuación de las perturbaciones de carga produci (more) das por la variación del flujo de vapor. El ruido de medida se resuelve filtrando la salida con un filtro de segundo orden. La ponderación del punto de consigna se utiliza para mejorar los cambios en la referencia. La propuesta se compara con el desempeño del controlador implementado actualmente en el lazo. Los resultados confirman los beneficios del diseño, garantizando así una mejor eficiencia del lazo. Abstract in english In this paper it is presented an improvement of the temperature loop regulation of the steam overheated in a boiler BKZ-340-140-29M of 100 MW. The study is carried out in the Thermoelectric Máximo Gómez. The proposed consists in a two degree of freedom PID control and measure filtering. The design, that include a robust criteria, has like a fundamental objective the load disturbances rejection produced by variation in the steam flow. The measurement noise is solving usi (more) ng filtering process output with a second order filter. The setpoint weighting it is used to improve the setpoint changes. The proposed is compare with the performance of the current implemented controller in the loop. The results confirm the benefits of design, guaranteeing a better efficiency of the loop.

García Martínez, Tania; Tanda Martínez, Rafael F.; Aguado Behar, Alberto

2012-12-01

151

Fuzzy PID Control Method for Internet-based Tele-operation Manipulators System  

Digital Repository Infrastructure Vision for European Research (DRIVER)

Trajectory tracking control problem for internet-based tele-operation system is researched in this paper. The control structure of master and slave tele-operation manipulators adapts bilateral servo control architecture with force deviation feedback. The simulation model of three degrees of free...

Wei Gao; Miaolei Zhou

152

Computer-aided control system design  

International Nuclear Information System (INIS)

Control systems are typically implemented using conventional PID controllers, which are then tuned manually during plant commissioning to compensate for interactions between feedback loops. As plants increase in size and complexity, such controllers can fail to provide adequate process regulations. Multivariable methods can be utilized to overcome these limitations. At the Chalk River Nuclear Laboratories, modern control systems are designed and analyzed with the aid of MVPACK, a system of computer programs that appears to the user like a high-level calculator. The software package solves complicated control problems, and provides useful insight into the dynamic response and stability of multivariable systems.

1986-01-01

153

GDO Artificial Intelligence-Based Switching PID Baseline Feedback Linearization Method: Controlled PUMA Workspace  

Directory of Open Access Journals (Sweden)

Full Text Available Congetive method is used in this research to create portfilo of movement robot manipulator. Gradient descent (GD) artificial intelligence based switching feedback linearization controller was used and robot’s postures and trajectory were expected in MATLAB/SIMULINK environment. Feedback linearization controller (CTC) is an influential nonlinear controller to certain systems which it is based on feedback linearization and computes the required torques using the nonlinear feedback control law in certain systems. Practically a large amount of systems have uncertainties accordingly this method has a challenge. Switching feedback linearization controller is a significant combination nonlinear stable-robust controller under condition of partly uncertain dynamic parameters of system. This technique is used to control of highly nonlinear systems especially in nonlinear time varient nonlinear dynamic system. To increase the stability and robustness with regards to improve the robustness switching methodology is applied to feedback linearization controller. Lyapunov stability is proved in proposed controller based on switching function. To compensate for the dependence on switching parameters baseline methodology is used.The nonlinear model dynamic formulation problem in uncertain system can be solved by using artificial intelligence theorem. Fuzzy logic theory is used to estimate the system dynamic. Forward kinematics implemented the manipulator's movements. Results validated the robot's range of possible postures and trajectories.

Farzin Piltan; Reza Bayat; Saleh Mehara; Javad Meigolinedjad

2012-01-01

154

An Optimized PID Control Strategy For Active Suspensions Applied To A Half Car Model  

Directory of Open Access Journals (Sweden)

Full Text Available In this paper, we propose a new control strategy for the active control of a hydraulically controlled half-car active suspension system. Our study proposes a special construction of the suspension system where the hydraulic actuator is to be placed in series with the conventional passive one to form a special case of low-frequency active suspension. The full dynamics of the electro-hydraulic servo-valve and hydraulic actuator were employed. Response of proposed control strategy has been tested for different road profiles and riding conditions including car chassis rolling effect when cornering and pitch movements when braking/ acceleration. Results have shown superior performance of our modified controller over passive suspensions and many other controllers of previous studies. Simulations show that our proposed controller provide better passenger comfort as it lowers maximum body acceleration by 94.3% and with reduction in body travel by 98.8% of that of passive one. Also, our proposed control strategy has shown better road handling and car stability over a whole range of road and inertial disturbances.

Mohammed H. AbuShaban; Mahir B. Sabra; Iyad M. Abuhadrous

2013-01-01

155

High-Speed and Low-Power PID Structures for Embedded Applications.  

Digital Repository Infrastructure Vision for European Research (DRIVER)

In embedded control applications, control-rate and energyconsumption are two critical design issues. This paper presents a series of highspeed and low-power finite-word-length PID controllers based on a new recursive multiplication algorithm. Compared to published results into the same conditions, s...

K. Oudjida, Abdelkrim; Chaillet, Nicolas; Liacha, Ahmed; Hamerlain, Mustapha; L. Berrandjia, Mohamed

156

An Approach to PID Method  

International Nuclear Information System (INIS)

KAERI has developing a scenario by PID method. PID method makes it easy to find the influence relationship between processes but difficult to trace major influences due to the complication of the diagram. To overcome the complication of the diagram, it is essential to develop a computer system for the effective display of PID. Therefore, the research of PID is carried out two ways of the construction of a full PID and the development of PID system. First of all, methodologies are established for the development of the full PID and computer system. Based on the methodologies, a model PID on Reference Scenario is constructed by the integration of sub-PIDs which are produced from the sub-scenarios of Reference Scenario and a PID Input Tool is developed for the production of PID in computer system. Especially, it seems that PID Input Tool makes it effective to construct various PIDs without errors. Though some additional works are needed to improve the quality of PID system, PID module will be loaded at the CYPRUS in the future and play a role to improve the confidence in the safety assessment of the repository

2009-01-01

157

Integrated adaptive control design system  

Energy Technology Data Exchange (ETDEWEB)

A simulated steam boiler, which is highly nonlinear, interactive and nonminimum phase, was developed as a test ground for the adaptive control design method proposed. This boiler model fully describes the dynamic responses between the inputs (water flow, fuel flow and air flow) and the outputs (steam temperature, steam pressure and flue gas emission). A Model Order Identifier is developed in this project to extract model order information from the input/output data pairs. The identifier helps the user to identify the correct model structure, process gain and other model parameters. Process characteristics, such as open-loop stability, phase behavior, are also provided. An Adaptive Control Design Consultant in the Expert System Environment (ESE) on IBM 4381 was developed to help a non-expert user find the correct controller to use. Based on the information provided by the Model Order Identifier and other a-priori knowledge provided by the user, the Adaptive Control Design Consultant will recommend the most suitable controller. If the user does not supply the minimum information required, recommendations will be made to direct the user to search for the information needed. Two adaptive algorithms, Self-Tuning PID and Adaptive minimum variance control, were modified to improve the performance. A Direct Adaptive Pole Placement Controller was developed to control deterministic, stable or unstable, minimum or nonminimum phase processes. This algorithm simplifies the structure of the control strategy by directly identifying the control parameters, saving as much as 90% of computation time required by other indirect strategies.

Hsiao, J.S.

1988-01-01

158

Design and Analysis of a Sliding Table Controller for Diabetes  

Directory of Open Access Journals (Sweden)

Full Text Available A discrete insulin infusion based on long-time interval measurement is the classic technique for diabetes treatment. Nevertheless, in this research, a closed-loop control system was proposed for continuous drug infusion to overcome the drawbacks of these typical discrete methods and develop more practical diabetes therapy systems. A blood glucose-insulin system was implemented relying on continuous insulin injection model. Based on this model, two controllers were designed to deal with the control dilemma of the resulting highly nonlinear plant. The controllers designed in this paper are: proportional integral derivative (PID), and sliding table controllers. Simulation results have shown that the sliding table controller can outperform the PID controller even with severe circumstances of disturbance in glucose, such as exercise, delay or noise in glucose sensor and nutrition mixed meal absorption at meal times.

Ahmed Y. Ben Sasi; Mahmud A. Elmalki

2013-01-01

159

A Simple Method of Designing Dual loop Controller for Cold Rolling Mill  

Directory of Open Access Journals (Sweden)

Full Text Available The mathematical model (Interval Plant) of the web guide in rolling mill is controlled using PID controller. The given interval plant is approximated to first order plus time delay with integrator (FOPTDI) system. The dual loop control (DLC) method proposed by Jacob and chidambaram for design PID controllers is extended for FOPTD+I systems. The performance of the closed loop system is evaluated for both the original and the approximated model. The controllers are also tuned using Internal Model Control (IMC) and the performance is compared by simulation.

S. Umamaheswari,; V.Palanisamy,; M.Chidambaram

2010-01-01

160

Analytical Design of State Feedback Controllers for a Nonlinear Interacting Tank Process  

Directory of Open Access Journals (Sweden)

Full Text Available The typical nonlinear interacting tank process has thedifficulty in controller design because of a change in systemdynamics and interaction of processes. This paper deals withdesign methodology of state feedback with and without integralcontroller and the performance of which is compared with ZNtuned PID controller. A simulation is carried out using MATLABto control the modeled nonlinear interacting tank processes.

S. Nagammai; S.Latha; I.Aarifa; S.D.Idhaya

2013-01-01

 
 
 
 
161

Predictive value of clinical diagnostic codes for the CDC case definition of pelvic inflammatory disease (PID): implications for surveillance.  

UK PubMed Central (United Kingdom)

BACKGROUND: Reporting of pelvic inflammatory disease (PID) from private providers could be incomplete because of time and staff constraints, lack of knowledge of reporting requirements and of case definitions. Reporting burden can be alleviated with the use of administrative data. GOAL: The goal of this study was to determine the validity of clinical diagnostic codes assigned in electronic medical records (EMR) for identifying PID and their use in enhancing surveillance. STUDY DESIGN: A random sample of 296 records with a PID International Classification of Diseases, 9th Revision (ICD-9), code (614.9) were reviewed to assess for the presence of the Centers for Disease Control and Prevention (CDC) criteria for the case definition of PID. We used the records meeting the CDC clinical case definition criteria as the reference standard to determine the sensitivity, specificity, and predictive values of various data elements. RESULTS: Used alone, the positive predictive value (PPV) of ICD-9 code 614.9 for a CDC case definition of PID was 18.1%. The PPV increased to 100% and 56% when the ICD-9 code visit was associated with a positive test for Neisseria gonorrhoeae (GC) and Chlamydia trachomatis (CT), respectively. CONCLUSION: In this multispecialty group practice, a positive test for GC and CT coupled with ICD-9 code 614.9 could be used to enhance reporting of cases of PID.

Ratelle S; Yokoe D; Blejan C; Whelan M; Tang Y; Platt R; Blair R; Tao G; Irwin K

2003-11-01

162

Improvement of Transient Voltage Responses using an Additional PID-loop on ANFIS-based Composite Controller-SVC (CC-SVC) to Control Chaos and Voltage Collapse in Power Systems  

Science.gov (United States)

Chaos and voltage collapse are qualitative behaviors in power systems that exist due to lack of reactive power in critical loading. These phenomena are deeply explored using both detailed and approximate models in this paper. The ANFIS-based CC-SVC with an additional PID-loop was proposed to control these problems and to improve transient response of the detailed model. The main function of the PID-loop was to increase the minimum voltage and to decrease the settling time at transient response. The ANFIS-based method was chosen because its computational complexity was more efficient than Mamdani fuzzy logic controller. Therefore the convergence of training processes was more rapidly achieved by the ANFIS-based method. The load voltage was held to the setting value by adjusting the SVC susceptance properly. From the experimental results, the PID-loop was an effective controller which achieved good simulation result for the reactive load, the minimum voltage increased and the settling time decreased at the values of j0.12pu, 0.9435pu and 7.01s, respectively.

Ginarsa, I. Made; Soeprijanto, Adi; Purnomo, Mauridhi Hery; Syafaruddin, Mauridhi Hery; Hiyama, Takashi

163

The Design for Feed Water System of Boiler Based on Fuzzy Immune Smith Control  

Directory of Open Access Journals (Sweden)

Full Text Available Aiming at the uncertainty of model parameters and dominate time delay of the controlled object in feed water system of boiler, combined with improved Smith predictor control method and fuzzy immune PID control method, improved Smith predicting controller based on fuzzy immune is designed.Fuzzy Immune PID controller can self-tune parameters, and has adaptive capacity to the diversification of controlled object parameters. When there is the phenomenon of large delay, the predictor estimates in advance the dynamic characteristics of the process under basic disturbance, so that regulator takes action ahead of time to reduce the overshoot. The designed controller is applied to the feed water cascade control system, and is simulated by Matlab under different operating conditions. Simulation results show that the designed control system has strong adaptive ability to the diversification of model parameters. And its stability, accuracy are superior to that of conventional Smith control system. The effectiveness of this designed controller has been confirmed.

GuiLi Yuan; JiZhen Liu

2012-01-01

164

A neuro-inspired spike-based PID motor controller for multi-motor robots with low cost FPGAs.  

Science.gov (United States)

In this paper we present a neuro-inspired spike-based close-loop controller written in VHDL and implemented for FPGAs. This controller has been focused on controlling a DC motor speed, but only using spikes for information representation, processing and DC motor driving. It could be applied to other motors with proper driver adaptation. This controller architecture represents one of the latest layers in a Spiking Neural Network (SNN), which implements a bridge between robotics actuators and spike-based processing layers and sensors. The presented control system fuses actuation and sensors information as spikes streams, processing these spikes in hard real-time, implementing a massively parallel information processing system, through specialized spike-based circuits. This spike-based close-loop controller has been implemented into an AER platform, designed in our labs, that allows direct control of DC motors: the AER-Robot. Experimental results evidence the viability of the implementation of spike-based controllers, and hardware synthesis denotes low hardware requirements that allow replicating this controller in a high number of parallel controllers working together to allow a real-time robot control. PMID:22666004

Jimenez-Fernandez, Angel; Jimenez-Moreno, Gabriel; Linares-Barranco, Alejandro; Dominguez-Morales, Manuel J; Paz-Vicente, Rafael; Civit-Balcells, Anton

2012-03-26

165

A neuro-inspired spike-based PID motor controller for multi-motor robots with low cost FPGAs.  

UK PubMed Central (United Kingdom)

In this paper we present a neuro-inspired spike-based close-loop controller written in VHDL and implemented for FPGAs. This controller has been focused on controlling a DC motor speed, but only using spikes for information representation, processing and DC motor driving. It could be applied to other motors with proper driver adaptation. This controller architecture represents one of the latest layers in a Spiking Neural Network (SNN), which implements a bridge between robotics actuators and spike-based processing layers and sensors. The presented control system fuses actuation and sensors information as spikes streams, processing these spikes in hard real-time, implementing a massively parallel information processing system, through specialized spike-based circuits. This spike-based close-loop controller has been implemented into an AER platform, designed in our labs, that allows direct control of DC motors: the AER-Robot. Experimental results evidence the viability of the implementation of spike-based controllers, and hardware synthesis denotes low hardware requirements that allow replicating this controller in a high number of parallel controllers working together to allow a real-time robot control.

Jimenez-Fernandez A; Jimenez-Moreno G; Linares-Barranco A; Dominguez-Morales MJ; Paz-Vicente R; Civit-Balcells A

2012-01-01

166

A Neuro-Inspired Spike-Based PID Motor Controller for Multi-Motor Robots with Low Cost FPGAs  

Science.gov (United States)

In this paper we present a neuro-inspired spike-based close-loop controller written in VHDL and implemented for FPGAs. This controller has been focused on controlling a DC motor speed, but only using spikes for information representation, processing and DC motor driving. It could be applied to other motors with proper driver adaptation. This controller architecture represents one of the latest layers in a Spiking Neural Network (SNN), which implements a bridge between robotics actuators and spike-based processing layers and sensors. The presented control system fuses actuation and sensors information as spikes streams, processing these spikes in hard real-time, implementing a massively parallel information processing system, through specialized spike-based circuits. This spike-based close-loop controller has been implemented into an AER platform, designed in our labs, that allows direct control of DC motors: the AER-Robot. Experimental results evidence the viability of the implementation of spike-based controllers, and hardware synthesis denotes low hardware requirements that allow replicating this controller in a high number of parallel controllers working together to allow a real-time robot control.

Jimenez-Fernandez, Angel; Jimenez-Moreno, Gabriel; Linares-Barranco, Alejandro; Dominguez-Morales, Manuel J.; Paz-Vicente, Rafael; Civit-Balcells, Anton

2012-01-01

167

A Neuro-Inspired Spike-Based PID Motor Controller for Multi-Motor Robots with Low Cost FPGAs  

Directory of Open Access Journals (Sweden)

Full Text Available In this paper we present a neuro-inspired spike-based close-loop controller written in VHDL and implemented for FPGAs. This controller has been focused on controlling a DC motor speed, but only using spikes for information representation, processing and DC motor driving. It could be applied to other motors with proper driver adaptation. This controller architecture represents one of the latest layers in a Spiking Neural Network (SNN), which implements a bridge between robotics actuators and spike-based processing layers and sensors. The presented control system fuses actuation and sensors information as spikes streams, processing these spikes in hard real-time, implementing a massively parallel information processing system, through specialized spike-based circuits. This spike-based close-loop controller has been implemented into an AER platform, designed in our labs, that allows direct control of DC motors: the AER-Robot. Experimental results evidence the viability of the implementation of spike-based controllers, and hardware synthesis denotes low hardware requirements that allow replicating this controller in a high number of parallel controllers working together to allow a real-time robot control.

Angel Jimenez-Fernandez; Gabriel Jimenez-Moreno; Alejandro Linares-Barranco; Manuel J. Dominguez-Morales; Rafael Paz-Vicente; Anton Civit-Balcells

2012-01-01

168

Study on Design of Control Module and Fuzzy Control System  

Energy Technology Data Exchange (ETDEWEB)

Performance of control unit is improved by introduction of fuzzy control theory and compensation for input of control unit as FLC(Fuzzy Logic Controller). Here, FLC drives thermal control system by linguistic rule-base. Hence, In case of using compensative PID control unit, it doesn't need to revise or compensate for PID control unit. Consequently, this study shows proof that control system which implements H/W module and then uses fuzzy algorism in this system is stable and has reliable performance.

Lee, Chang Kyu; Sohn, Chang Ho; Kim, Jung Seon; Kim, Min Kyu [Samchang Enterprise Co., LTD., Seoul (Korea, Republic of)

2005-07-01

169

The MICE PID Instrumentation  

CERN Document Server

The international Muon Ionization Cooling Experiment (MICE) will carry out a systematic investigation of ionization cooling of a muon beam. As the emittance measurement will be done on a particle-by-particle basis, sophisticated beam instrumentation is needed to measure particle coordinates and timing vs RF. A PID system based on three time-of-flight stations, two Aerogel Cerenkov detectors and a KLOE-like calorimeter has been constructed in order to keep beam contamination ($e, \\pi$) well below 1%. The MICE time-of-flight system will measure timing with a resolution better than 70 ps per plane, in a harsh environment due to high particle rates, fringe magnetic fields and electron backgrounds from RF dark current.

Bonesini, M

2008-01-01

170

FPGA-BASED CONTROL OF THERMOELECTRIC COOLERS FOR LASER DIODE TEMPERATURE REGULATION  

Directory of Open Access Journals (Sweden)

Full Text Available The proportional-integral-derivative (PID) controller is the most used controller in the industry. Field programmable gate arrays (FPGAs) allow efficient implementation of PID controllers. This paper presents the temperature regulation of a 48W laser diode through thermoelectric coolers (TECs). The temperature regulation system is designed and tested. The results demonstrate the feasibility and applicability of PID control through FPGA.

AHTESHAM ALI; CHAKIB ALAOUI

2012-01-01

171

Design and experimental evaluation of a robust position controller for an electrohydrostatic actuator using adaptive antiwindup sliding mode scheme.  

UK PubMed Central (United Kingdom)

A robust control scheme is proposed for the position control of the electrohydrostatic actuator (EHA) when considering hardware saturation, load disturbance, and lumped system uncertainties and nonlinearities. To reduce overshoot due to a saturation of electric motor and to realize robustness against load disturbance and lumped system uncertainties such as varying parameters and modeling error, this paper proposes an adaptive antiwindup PID sliding mode scheme as a robust position controller for the EHA system. An optimal PID controller and an optimal anti-windup PID controller are also designed to compare control performance. An EHA prototype is developed, carrying out system modeling and parameter identification in designing the position controller. The simply identified linear model serves as the basis for the design of the position controllers, while the robustness of the control systems is compared by experiments. The adaptive anti-windup PID sliding mode controller has been found to have the desired performance and become robust against hardware saturation, load disturbance, and lumped system uncertainties and nonlinearities.

Lee JM; Park SH; Kim JS

2013-01-01

172

Design and experimental evaluation of a robust position controller for an electrohydrostatic actuator using adaptive antiwindup sliding mode scheme.  

Science.gov (United States)

A robust control scheme is proposed for the position control of the electrohydrostatic actuator (EHA) when considering hardware saturation, load disturbance, and lumped system uncertainties and nonlinearities. To reduce overshoot due to a saturation of electric motor and to realize robustness against load disturbance and lumped system uncertainties such as varying parameters and modeling error, this paper proposes an adaptive antiwindup PID sliding mode scheme as a robust position controller for the EHA system. An optimal PID controller and an optimal anti-windup PID controller are also designed to compare control performance. An EHA prototype is developed, carrying out system modeling and parameter identification in designing the position controller. The simply identified linear model serves as the basis for the design of the position controllers, while the robustness of the control systems is compared by experiments. The adaptive anti-windup PID sliding mode controller has been found to have the desired performance and become robust against hardware saturation, load disturbance, and lumped system uncertainties and nonlinearities. PMID:23983640

Lee, Ji Min; Park, Sung Hwan; Kim, Jong Shik

2013-07-22

173

Prevalence, incidence and determinants of PTSD and other mental disorders: design and methods of the PID-PTSD+3 study.  

UK PubMed Central (United Kingdom)

Investigation of the prevalence, incidence, and determinants of post-traumatic stress disorders (PTSD) and other mental disorders associated with military deployment in international missions poses several methodological and procedural challenges. This paper describes the design and sampling strategies, instruments, and experimental procedures applied in a study programme aimed to examine military deployment-related mental health and disorders (prevalence and trajectories) and to identify vulnerability and risk factors (e.g. age, gender, type of mission, rank, and duration of deployment and a wide range of neurobiological, psychological, social, and behavioural factors). The study comprised two components. The first component, a cross-sectional study, included 1483 deployed and 889 non-deployed German soldiers (response rate, 93%) who served during the 2009 International Security Assistance Force (ISAF) mission. A standardized diagnostic instrument (Composite International Diagnostic Interview, CIDI) coupled with established questionnaires was administered to detect and diagnose PTSD and a broad spectrum of mental disorders and mental health problems. The second component, a prospective-longitudinal study, included 621 soldiers examined before (2011) and after return (2012) from the ISAF mission. In addition to the CIDI and questionnaires, several experimental behavioural tests and biological markers were implemented to probe for incident mental disorders, mental health problems and risk factors. Our methods are expected to provide greater precision than previous studies for estimating the risk for incident deployment-related and non-deployment-related disorders and their risk factors. We expect the findings to advance our understanding of a wide spectrum of adverse mental health outcomes beyond PTSD.

Wittchen HU; Schönfeld S; Thurau C; Trautmann S; Galle M; Mark K; Hauffa R; Zimmermann P; Schaefer J; Steudte S; Siegert J; Höfler M; Kirschbaum C

2012-06-01

174

Primary Immuno-deficiencies (PID)  

Directory of Open Access Journals (Sweden)

Full Text Available (Received 6 June, 2009 ; Accepted 22 July, 2009)AbstractBackground and purpose: Primary immune-deficiencies (PID) are associated with a wide range of clinical disorders along with variable symptoms. The aim of this study was to evaluate and improve our knowledge regarding PID from patients that were referred to Booali Sina Hospital.Materials and methods: We evaluated all of PID`s that were referred to Booali Sina Hospital from their data records. Demography, clinical and laboratory data were recorded and then analyzed.Results: In the duration of 3 years, we had 10 patients with PID (7 males and 3 females). Of these cases, 5 had hum oral (50%), 1case had phagocytic (10%), 3 cases had cellular (30%) and 1 case had hyper IgE syndrome (10%). Many of them had respiratory and otitis media infections, while a few patients had adenitis, gastroenteritis, liver abscesses, bleedings and malignancy.Conclusion: PID is a diverse disorder that involves different immune systems. Knowledge from patient’s clinical symptoms and consideration in their differential diagnosis can be helpful in early diagnosis and an effective treatment.J Mazand Univ Med Sci 2009; 19(70): 76-80 (Persian)

Javad Ghaffari1; Hossein Karami1; Ali Abaskhanian1; Iraj Mohammadzadeh2

2009-01-01

175

Optimum Setting of Controller Using Soft Computing Techniques for a Chemical System  

Directory of Open Access Journals (Sweden)

Full Text Available Problem statement: The aim of this study is to present an intelligent tuning technique for PID controller that are simple and still result in good closed loop behavior. The idea is to start with a tuned conventional PID controller, replace it with an equivalent intelligent controllers like Fuzzy, ANN, Genetic and PSO techniques implies fine tuned nonlinear PID controller which is most suitable for nonlinear process like Continuous stirred tank reactor. The performance of various optimization techniques and intelligent techniques are compared. Approach: In this study we present soft computing techniques to design and tune the PID controller. The objective is tominimise the steady state error and to obtain the optimum response. Results: The comparisons amoung the Conventional PID, Fuzzy Sliding PID, Simulated Anneling PID and PSO tuned PID controllers PSO PID implies better result for the nonlinear chemical process. Conclusion: With the nonlinear model of CSTR process the PSO tuned PID controller implies the optimum response for both setpoint and load variations.

G. Glandevadhas; S. Pushpakumar; S. V.M. Prasad

2011-01-01

176

Analysis of LPG Engine PID Parameter Control of Transient Air-fuel Ration Based on Improved Elman Neural Network  

Directory of Open Access Journals (Sweden)

Full Text Available This paper puts forward one kind of air-fuel ration control method which integrates improved Elman neural network with normal PI control.It constructs a model of the single LPG electro-plating engine and simulation platform for air-fuel ration controlling with GT-Power software which seamless connect to Matlab/Simulink based on JL1P39FMB single cylinder engine and develop the electronic fuel-injected controller based on Intel MCS-96. It also constructs mini LPG electro-plating engine experiment system for air-fuel ration to the LPG Injection System and adopt the new inlet channel injection type of duty ratio controlling injector. Help the throttle percentage-rev- duty cycle pulse spectrum diagram after the calibration bench experiment for the best duty cycle of mini electronic LPG-injected under the steady working conditions. It predicts the air-fuel ration signals of nontransmission delay through the Elman neural network. The normal PI controller which deals with the predictive signals implements  the concurrent control of air-fuel ration under transient conditions. The bench test and the simulation result indicate that the control methods have the strong adaptation, which can make the statism of air-fuel ration under transient conditions  on ±5%.

Jubiao Yao; Keyu Jiang; Chaoyi Yao

2010-01-01

177

Design of controller for control rod of research reactors  

International Nuclear Information System (INIS)

Designing and testing digital control system for any nuclear research reactor can be costly and time consuming. In this thesis, a rapid, low-cost proto typing and testing procedure for digital controller design is proposed using the concept of Hardware-In-The-Loop (HIL). Some of the control loop components are real hardware components and the others are simulated. First, the whole system is modeled and tested by Real-Time Simulation (RTS) using conventional simulation techniques such as MATLAB / SIMULINK. Second the Hardware-in-the-loop simulation is tested using Real-Time Windows Target in MATLAB and Visual C++. The control parts are included as hardware components which are the reactor control rod and its drivers. Three kinds of controllers are studied, Proportional-Derivative (PD), Proportional-Integral-Derivative (PID) and Fuzzy controller. An experimental setup for the hardware used in HIL concept for the control of the nuclear research reactor has been realized. Experimental results are obtained and compared with the simulation results. The experimental results indicate the validation of HIL method in this domain.

2008-01-01

178

ROBUST TEMPERATURE CONTROLLER DESIGN FOR A CHEMICAL PROCESS  

Directory of Open Access Journals (Sweden)

Full Text Available This paper attempts to tuning out a new PID control strategy to provide Robust Control for a Chemical process. Chemical process control is a challenging problem due to the strong on-line non-linearity and extreme sensitivity to disturbances of the process. The proposed method has the advantage that it takes into account all the parameters variations associated with the process. The variations in the process parameters are modeled as a gaussian noise and an adaptive gaussian filter is placed in the feedback path. The adaptivegaussian filter in the feedback path adapts its filter coefficients based on a kalman estimation algorithm. This adaptive filter adapts so as to maintain the mean square error a minimum. The LQG (Linear Quadratic Gaussian) in Robust Control is used in designing of the proposed strategy. The analysis of a PID tuning [7] strategy and the necessity of such an adaptive strategy is also explored in this paper. The proposed strategy of Robust Control has been designed for a First Order Lag Plus Delay (FOLPD) process. The proposed strategy ofRobust Control has been simulated for an FOLPD process in SIMULINK.

G.Glan Devadhas; Dr.S.Pushpa Kumar

2010-01-01

179

Modeling and Controller Design of an Electro-Hydraulic Actuator System  

Directory of Open Access Journals (Sweden)

Full Text Available Problem statement: Electro-hydraulic actuators are widely used in motion control application. Its valve needs to be controlled to determine direction of the motion. Mathematical modeling is a description of a system in terms of equations. It can be divided into two parts; physical modeling and system identification. The objective of this study was to obtain mathematical model of an electro-hydraulic system using system identification technique by estimating model using System Identification Toolbox in MATLAB. Approach: Experimental works were done to collect input and output data for model estimation and ARX model was chosen as model structure of the system. The best model was accepted based on the best fit criterion and residuals analysis of autocorrelation and cross correlation of the system input and output. PID controller was designed for the model through simulation in SIMULINK. The controller is tuning by Ziegler-Nichols method. The simulation work was verified by applying the controller to the real system to achieve the best performance of the system. Results: The result showed that the output of the system with controller in simulation mode and experimental works were improved and almost similar. Conclusion/Recommendations: The designed PID controller can be applied to the electro-hydraulic system either in simulation or real-time mode. The self-tuning or automatic tuning controller could be developed in future work to increase the reliability of the PID controller.

M. F. Rahmat; S. M. Rozali; N. A. Wahab; Zulfatman; Kamaruzaman Jusoff

2010-01-01

180

Design and realization of the IP control core in field controllers for LAMOST spectroscopes  

Science.gov (United States)

The China-made telescope, LAMOST, consists of 16 spectroscopes to detect stellar spectra via 4000 optical fibers. In each spectroscope, many movable parts work in phase. Those parts are real-time controlled and managed by field controllers based on FPGA. This paper mainly introduces how to use DSP Builder module library in MATLAB / Simulink to construct the IP control core on FPGA chip. This method can also be used to design the control core of PID arithmetic, to carry out arithmetic simulation and generate VHDL language file, as well as to integrate it into SOPC developing environment so as to repeatedly use. In this way, the design period of the control system may be shortened and design process simplified. Finally due to the reversibility and programmability of the IP control core ,a system on a chip for field controllers of spectroscope is realized, which meets astronomical control requirements, providing an effective scheme for embedded system in astronomical instrument applications.

Wang, Jianing; Han, Zhongyi; Zeng, Yizhong; Dai, Songxin; Hu, Zhongwen; Zhu, Yongtian; Wang, Lei; Hou, Yonghui

2010-07-01

 
 
 
 
181

Advanced PID type fuzzy logic power system stabilizer  

Energy Technology Data Exchange (ETDEWEB)

An advanced fuzzy logic control scheme has been proposed for a micro-computer based power system stabilizer to enhance the overall stability of power systems. The proposed control scheme utilizes the PID information of the generator speed. The input signal to the stabilizer is the real power output of a study unit. Simulations show the effectiveness of the advanced fuzzy logic control scheme.

Hiyama, Takashi; Kugimiya, Masahiko; Satoh, Hironori (Kumamoto Univ. (Japan). Dept. of Electrical Engineering and Computer Science)

1994-09-01

182

Doble lazo de control para regular la posición y la velocidad en un motor de corriente directa  

Directory of Open Access Journals (Sweden)

Full Text Available This paper presents the design and implementation process of a speed and position control for a direct current motor using double loop and four algorithms: classical PID, fuzzy PID, fuzzy, and a heuristic-based nonlinear PID, which is proposed by the authors. There is a special emphasis on the development of the power stage, the development of algorithms for measuring variables, the modeling stage and, finally, the real time control using Matlab.

José Danilo Rairán-Antolines; José Miguel Fonseca-Gómez

2011-01-01

183

Fractional order phase shaper design with Bode's integral for iso-damped control system.  

Science.gov (United States)

The phase curve of an open loop system is flat in nature if the derivative of its phase with respect to frequency is zero. With a flat-phase curve, the corresponding closed loop system exhibits an iso-damped property i.e. maintains constant overshoot with the change of gain. This implies enhanced parametric robustness e.g. to variation in system gain. In the recent past, fractional order (FO) phase shapers have been proposed by contemporary researchers to achieve enhanced parametric robustness. In this paper, a simple methodology is proposed to design an appropriate FO phase shaper to achieve phase flattening in a control loop, comprising a plant controlled by a classical Proportional Integral Derivative (PID) controller. The methodology is demonstrated with MATLAB simulation of representative plants and accompanying PID controllers. PMID:20045750

Saha, Suman; Das, Saptarshi; Ghosh, Ratna; Goswami, Bhaswati; Balasubramanian, R; Chandra, A K; Das, Shantanu; Gupta, Amitava

2010-01-01

184

Control system design guide  

Energy Technology Data Exchange (ETDEWEB)

The ''Control System Design Guide'' (Design Guide) provides methods and recommendations for the control system design process and control point selection and installation. Control systems are often the most problematic system in a building. A good design process that takes into account maintenance, operation, and commissioning can lead to a smoothly operating and efficient building. To this end, the Design Guide provides a toolbox of templates for improving control system design and specification. HVAC designers are the primary audience for the Design Guide. The control design process it presents will help produce well-designed control systems that achieve efficient and robust operation. The spreadsheet examples for control valve schedules, damper schedules, and points lists can streamline the use of the control system design concepts set forth in the Design Guide by providing convenient starting points from which designers can build. Although each reader brings their own unique questions to the text, the Design Guide contains information that designers, commissioning providers, operators, and owners will find useful.

Sellers, David; Friedman, Hannah; Haasl, Tudi; Bourassa, Norman; Piette, Mary Ann

2003-05-01

185

Design of temperature control system for perfusion hyperthermia based on MCU and FPGA  

Science.gov (United States)

There are problems of poor characteristics on control and operation for existed hyperthermia equipment. This paper designs a temperature control system for the perfusion hyperthermia equipment. In this system, LCD and touch keys are used as the man-machine interface, and C8051F020 is used as main control, FPGA is used as main high speed memory, using gray forecast fuzzy PID control algorithm. And the equipment can realize control accuracy of 43+/-0.2 degree Celsius. This paper introduces the design of hardware and software of the temperature control for the hyperthermia equipment.

Chen, Lingcong; Zhu, Jianmin; Zhang, Xiaolan; Wang, Zhongyu

2008-11-01

186

DESIGN AND DEVELOPMENT OF AN EMBEDDED DC MOTOR CONTROLLER USING A PID ALGORITHM Kontrol av DC-Motor i enbyggda system med hjlp av PID & PWM  

Digital Repository Infrastructure Vision for European Research (DRIVER)

This project was held at London South Bank University in the UK, with corporation with staff from Linköping University in Sweden as Bachelor thesis. This report will guide you through the used techniques in order to achieve a successful cooler/Fan project with a minimum budget and good energy saving...

Jones, Omar

187

Neuro-fuzzy Control of Integrating Processes  

Directory of Open Access Journals (Sweden)

Full Text Available Fuzzy technology is adaptive and easily applicable in different areas.Fuzzy logic provides powerful tools to capture the perceptionof natural phenomena. The paper deals with tuning of neuro-fuzzy controllers for integrating plant and for integrating plantswith time delay. The designed approach is verified on three examples by simulations and compared plants with classical PID control.Designed fuzzy controllers lead to better closed-loop control responses then classical PID controllers.

Anna Vasi?kaninová; Monika Bakošová

2011-01-01

188

Fast and Accurate Motion Control Based on Good Gain Method  

Directory of Open Access Journals (Sweden)

Full Text Available There are some drawbacks exist in multi-method intelligence control algorithms which are popular researched in motion control. Many of the most significant ones are high algorithm complexity, long time-consuming and not easily applied in industrial production. According to the disadvantages mentioned above, and also take the conflicts between control accuracy and response speed into consideration, a “Good Gain” PID tuning method is studied on motion control. Firstly this PID tuning method is described and the processes of finding proper PID gains by analyzing the outputs of PID controller are designed. Secondly the method is simulated on a DC motor model and finally acquires a proper balance between response speed and control accuracy. Finally the method is tested on real DC motor and control devices. After software simulation and real experiments, the effectiveness of this PID tuning method is proved.

GAO Qingji; LI Zheng

2013-01-01

189

Instrumentation of a PLC-regulated temperature cycler with a PID control unit and its use for miniaturized PCR systems with reduced volumes of aqueous sample droplets isolated in oil phase in a microwell.  

UK PubMed Central (United Kingdom)

We have developed a temperature cycler for polymerase chain reaction (PCR) in a microwell fabricated on a polymer/glass chip. The entire system consisted of three subsystems, which included (1) a thermal conditioner, (2) a proportional-integral-derivative (PID) control signal conditioner and (3) a data acquisition subsystem. The subsystems were regulated coordinately by a ladder logic program written for the programmable logic control (PLC) so that an actual sample temperature could be timed, changed and maintained according to the programmed temperature cycles. The present temperature control system showed high accuracy, stability and minimum overshoot with reduced heating and cooling transition rates. Applicability of the temperature controller to the miniaturized PCR system with reduced volumes of aqueous sample droplets isolated in an oil phase was confirmed by successful amplifications of a target DNA sequence in the microwell.

Hashimoto M; Torii M; Yoshida K; Noda K; Tsukagoshi K

2011-01-01

190

System design of a reference model adaptive control for radial plasma position on HL-2A tokamak  

International Nuclear Information System (INIS)

[en] The design of the control system for radial plasma position on HL-2A based on model reference adaptive control (MRAC) principle is presented in this paper. The simulated results show that it can be used to improve the performance of the system greatly. Compared with the classical PID control system, it has obvious advantages in the better dynamic response, the smaller quantity of calculation and the better robustness. (authors)

2004-01-01

191

Design of RF control system  

International Nuclear Information System (INIS)

This next contains the following subjects. (1) Introduction, (2) Low level RF (LLRF) system of linear accelerator with superconducting cavities, (2-1) Components of LLRF employing digital feedback control, (2-2) Origins of RF fluctuations, (3) Control theory of continuous signal system, (3-1) System and control, (3-2) Transfer function, (3-3) State equation, (4) Feedback control, (4-1) Open loop and closed loop, (4-2) Proportional Integral Derivative (PID) control, (4-3) An example of feedback control of RF source for linear accelerator, (5) Modeling of RF cavities, (5-1) Fundamental equation for RF cavities, (5-2) State equation for RF cavities, (5-3) Transfer function for RF cavities, (5-4) Modeling of Lorentz force detuning, (5-5) Simulation by MATLAB/Simulink, (6) Control in discrete signal system, (6-1) Modification of Continuous signal system to discrete signal system, (6-2) Making transfer function to be discrete, (6-3) Making state equation to be discrete, (6-4) Making state equation of RF cavities to be discrete, (6-5) Cavity simulator, (7) LLRF system of STF-Phase 1, and (7-1) Digital control system in STF-Phase 1. (K.Y.)

2006-09-01

192

Intelligent Controller Design for a Chemical Process  

Directory of Open Access Journals (Sweden)

Full Text Available Chemical process control is a challenging problem due to the strong on*line non*linearity and extreme sensitivity to disturbances of the process. Ziegler – Nichols tuned PI and PID controllers are found to provide poor performances for higher*order and non–linear systems. This paper presents an application of one*step*ahead fuzzy as well as ANFIS (adaptive*network*based fuzzy inference system) tuning scheme for an Continuous Stirred Tank Reactor CSTR process. The controller is designed based on a Mamdani type and Sugeno type fuzzy system constructed to model the dynamics of the process. The fuzzy system model can take advantage of both a priori linguistic human knowledge through parameter initialization, and process measurements through on* line parameter adjustment. The ANFIS, which is a fuzzy inference system, is implemented in the framework of adaptive networks. The proposed ANFIS can construct an input*output mapping based on both human knowledge (in the form of fuzzy if*then rules) and stipulated input*output data pairs. In this method, a novel approach based on tuning of fuzzy logic control as well as ANFIS for a CSTR process, capable of providing an optimal performance over the entire operating range of process are given. Here Fuzzy logic control as well as ANFIS for obtaining the optimal design of the CSTR process is explained. In this approach, the development of rule based and the formation of the membership function are evolved simultaneously. The performance of the algorithm in obtaining the optimal tuning values has been analyzed in CSTR process through computer simulation.

Mr. Glan Devadhas G; Dr.Pushpakumar S.

2010-01-01

193

Control system design method  

Science.gov (United States)

A control system design method and concomitant control system comprising representing a physical apparatus to be controlled as a Hamiltonian system, determining elements of the Hamiltonian system representation which are power generators, power dissipators, and power storage devices, analyzing stability and performance of the Hamiltonian system based on the results of the determining step and determining necessary and sufficient conditions for stability of the Hamiltonian system, creating a stable control system based on the results of the analyzing step, and employing the resulting control system to control the physical apparatus.

Wilson, David G. (Tijeras, NM); Robinett, III, Rush D. (Tijeras, NM)

2012-02-21

194

Fuzzy Logic based Current Control Schemes for Vector-controlled Asynchronous Motor Drives  

Directory of Open Access Journals (Sweden)

Full Text Available In this study, a kind of two-dimensional fuzzy PID controller is designed acted as current regulator of SVPWM asynchronous motor vector-controlled drives for the sake of improving the dynamic and steady state performance of current control of this type of system. Two kind of control schemes are proposed here according to the different requirements for current response performance of d and q axis in vector control. One kind is that a fuzzy PID controller is applied to the q-axis current loop and a conventional PI controller is applied to d-axis current loop. The other one is that a fuzzy PID controller is applied to the q-axis current loop and a conventional PI controller is applied to d-axis current loop. The simulation results show that the current regulator with fuzzy PID controller possesses better dynamic and steady state performance compared to counterpart of general PI controller.

Gan Jia- Liang; Zhang Hong- Xia; Zhao Jin

2010-01-01

195

Designing roof control systems  

Energy Technology Data Exchange (ETDEWEB)

Jenmar Corp. of Pittsburgh have developed a computer program to design roof control systems for mine intersections and entries. The design is then modified to suit local conditions using data on anchorage capacity, stratascope studies, core data, and actual roof strata samples from falls. 5 figs.

Stankus, J.C. (Jennmar Corporation (USA))

1990-05-01

196

Synthesis water level control by fuzzy logic  

Directory of Open Access Journals (Sweden)

Full Text Available Purpose: This paper focuses on evolving of two types fuzzy and classical PID liquid level controller and examining whether they are better able to handle modelling uncertainties. A two stage strategy is employed to design the synthesis fuzzy and classical PID controller with the process of the first and second order and implements disorder (quadratic function).Design/methodology/approach: The synthesis of fuzzy and classical PID liquid level controller was realized with the HP laptop 6830s Compaq NA779ES, software Matlab/Simulink 2008b, FIS (Fuzzy Inference System) soft logical tool, input-output unit 500 Dragon Rider and ultrasonic sensor. Using the simulation program Matlab/Simulink/FIS we simulate the operation of fuzzy and classical controller in the liquid level regulating cycle and made a comparison between fuzzy and classical controller functioning.Findings: From the responses to step fuzzy and classical controller for first-order process shows that the actual value of the controlled variable takes the value one. Fuzzy and classical PID controller does not allow control derogation, which is also inappropriate for fuzzy and classical control cycle with incorporating disturbance. Classical PID controller in the first-order process provides short-term regulation, such as fuzzy PID controller. In fuzzy control cycle with fuzzy PID controller and incorporating disturbance in the process of second-order the control cycle is stable and at certain predetermined parameters (integral gain) a control does not allow deviations.Research limitations/implications: In future research, the robustness of the fuzzy logic controller will be investigated in more details.Practical implications: Using fuzzy liquid level controller can reduce power consumption by 25%. Originality/value: Fuzzy logic controller is useful in applications of nonlinear static characteristic, where classical methods with usually classical PID controllers cannot be a satisfactory outcome

P. Berk; D. Stajnko; P. Vindis; B. Mursec; M. Lakota

2011-01-01

197

Design and Simulation of Control Systems for a Field Survey Mobile Robot Platform  

Directory of Open Access Journals (Sweden)

Full Text Available The aim of this study was to design automatic and accurate control systems for wheel speed and steering of an agricultural mobile robot. Three controllers, including lead-lag compensator, Proportional-Integral-Derivative (PID) and fuzzy logic controller were designed and simulated in this study to control the angular rate of the shaft of a DC motor actuator for a field survey mobile robot that moves between plants rows to perform image acquisition task through a digital camera mounted on a two link arm attached on the robot base. The response of the actuator model for each controller were determined and compared for a sinusoidal and a step input that simulated robot speed and positioning references respectively. Performance analysis showed the effectiveness of the PID and lead-lag compensator response for the wheel steering task, while the fuzzy logic controller design had a better performance in wheel speed control. The output of this analysis was a proved satisfaction of the proposed design criteria which results enhanced mobility of the robot in terms of fast response, speed control accuracy and smooth steering at row-end turnings.

Ramin Shamshiri; Wan Ishak Wan Ismail

2013-01-01

198

Optimization and simulation of the feedback control system of HL-2A  

International Nuclear Information System (INIS)

[en] Making use of the MATLAB language to analyze the stability of the plasma current and radial position control system in the HL-2A, the PID controller is designed and the system response is simulated. (authors)

2003-01-01

199

Efficient FPGA implementation of 2nd order digital controllers using Matlab/Simulink  

Directory of Open Access Journals (Sweden)

Full Text Available This paper explains a method for the design and implementation of digital controller based on Field Programmable Gate Array (FPGA) device. It is more compact, power efficient and provides high speed capabilities as compared to software based PID controllers. The proposed method is based on implementation of Digital controller as digital filters using DSP architectures. The PID controller is designed using MATLAB and Simulink to generate a set of coefficients associated with the desired controller characteristics. The controller coefficients are then included in VHDL that implements the PID controller on to FPGA. MATLAB program is used to design PID controller to calculate and plot the time response of the control system. The synthesis report concludes the resource utilization of selected FPGA.

Vikas gupta; K. Khare; R. P. Singh

2011-01-01

200

Adaptive Fuzzy Control Design  

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Full Text Available An application of fuzzy systems to nonlinear system adaptive control design isproposed in this paper. The fuzzy system is constructed to approximate the nonlinearsystem dynamics. Based on this fuzzy approximation suitable adaptive control laws andappropriate parameter update algorithms for nonlinear uncertain (or unknown) systemsare developed to achieve H? tracking performance. It is shown that the effects ofapproximation errors and external disturbance can be attenuated to a specific attenuationlevel using the proposed adaptive fuzzy control scheme. The nonlinear gradient lawguarantees the convergence of the training algorithm.

Martin Kratmüller

2009-01-01

 
 
 
 
201

DESIGN OF A CONTROL SYSTEM TO ENHANCE PROCESS PERFOMANCE IN THE PRODUCTION OF SORGHUM BEER  

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Full Text Available Breweries in Zimbabwe use limited or no control systems at all. The aim of this study was to design a control system for monitoring and controlling mashing and cooling processes during production of a sorghum beer brewing. The design of the control circuit was done using sensors and controllers. For temperature control a PID controller was used. The system was able to raise the temperature of the mash to 50°C for 50 minutes for hydrolysis of protein, ? glucons and pentasons by proteolic enzymes. The temperature was then raised to 80°C and maintained constant for 10 minutes for optimal activity of ?-amylase. It was then raised to 95°C for the optimal activity of ?- amylase. Finally, the temperature was raised to 100°C and was held constant for 60 minutes for enzyme inactivation. The control system designed in this study enhanced the process performance in the brewing of a sorghum beer.

CATHERINE MAWARE; NORMAN GWANGWAVA; RAPHEL M JINGURA

2013-01-01

202

Model validation and higher order sliding mode controller design for a research reactor  

Energy Technology Data Exchange (ETDEWEB)

The paper pertains to model validation and novel higher order sliding mode controller design for a nuclear research reactor. Sliding mode controllers for nuclear reactors were reported before but higher order sliding mode controllers have added advantage of reduced chattering. As a first step of model development a simulation model of control rod drive mechanism (CRDM) has been developed using SIMULINK. This model has been validated with a lab based CRDM model, which is similar to Pakistan Research Reactor-1 (PARR-1) CRDM system. The nonlinear model of PARR-1 has been tuned and validated with experimental data. This model has been subsequently used for higher order sliding mode controller design and performance evaluation. Certain parameter values have also been recalculated to ensure model accuracy. Based on the validated model a robust nonlinear controller for controlling output power by manipulating control rod position has been developed and simulated. The new controller showed improved performance as compared to the classical PID controller.

Qaiser, S.H. [Center for Advanced Studies in Engineering, 19 Ataturk Avenue, Islamabad (Pakistan); Bhatti, A.I. [Mohammad Ali Jinnah University, Islamabad (Pakistan); Iqbal, Masood [Nuclear Engineering Division, Pakistan Institute of Nuclear Science and Technology, P.O. Nilore, Islamabad (Pakistan)], E-mail: masiqbal@hotmail.com; Samar, R. [Mohammad Ali Jinnah University, Islamabad (Pakistan); Qadir, J. [Nuclear Engineering Division, Pakistan Institute of Nuclear Science and Technology, P.O. Nilore, Islamabad (Pakistan)

2009-01-15

203

Stability of Retarded/Neutral System with State-PID Feedback Using Lienard-Chipart Stability Criterion  

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Full Text Available A retarded/neutral system is sensitive to instability due to delay. A knowledge of maximum allowable delay (?) or tolerable delay is thus useful for controller design and stabilization. This article proposes a method to compute a tolerable delay time for a Linear-Time-Invariant-Time-Delayed-System (LTITDS) with state-PID feedback control. The method proposed is based-on Lienard-Chipart criterion, which reduces the number of determinants to be evaluated. The proposed approach is compared with the matrix pencil method. Three case studies serve to demonstrate the effectiveness of the method.

W. Wiboonjaroen; S. Sujitjorn

2012-01-01

204

Model-based rational feedback controller design for closed-loop deep brain stimulation of Parkinson's disease.  

UK PubMed Central (United Kingdom)

OBJECTIVE: To explore the use of classical feedback control methods to achieve an improved deep brain stimulation (DBS) algorithm for application to Parkinson's disease (PD). APPROACH: A computational model of PD dynamics was employed to develop model-based rational feedback controller design. The restoration of thalamocortical relay capabilities to patients suffering from PD is formulated as a feedback control problem with the DBS waveform serving as the control input. Two high-level control strategies are tested: one that is driven by an online estimate of thalamic reliability, and another that acts to eliminate substantial decreases in the inhibition from the globus pallidus interna (GPi) to the thalamus. Control laws inspired by traditional proportional-integral-derivative (PID) methodology are prescribed for each strategy and simulated on this computational model of the basal ganglia network. MAIN RESULTS: For control based upon thalamic reliability, a strategy of frequency proportional control with proportional bias delivered the optimal control achieved for a given energy expenditure. In comparison, control based upon synaptic inhibitory output from the GPi performed very well in comparison with those of reliability-based control, with considerable further reduction in energy expenditure relative to that of open-loop DBS. The best controller performance was amplitude proportional with derivative control and integral bias, which is full PID control. We demonstrated how optimizing the three components of PID control is feasible in this setting, although the complexity of these optimization functions argues for adaptive methods in implementation. SIGNIFICANCE: Our findings point to the potential value of model-based rational design of feedback controllers for Parkinson's disease.

Gorzelic P; Schiff SJ; Sinha A

2013-04-01

205

Model-based rational feedback controller design for closed-loop deep brain stimulation of Parkinson's disease  

Science.gov (United States)

Objective. To explore the use of classical feedback control methods to achieve an improved deep brain stimulation (DBS) algorithm for application to Parkinson's disease (PD). Approach. A computational model of PD dynamics was employed to develop model-based rational feedback controller design. The restoration of thalamocortical relay capabilities to patients suffering from PD is formulated as a feedback control problem with the DBS waveform serving as the control input. Two high-level control strategies are tested: one that is driven by an online estimate of thalamic reliability, and another that acts to eliminate substantial decreases in the inhibition from the globus pallidus interna (GPi) to the thalamus. Control laws inspired by traditional proportional-integral-derivative (PID) methodology are prescribed for each strategy and simulated on this computational model of the basal ganglia network. Main Results. For control based upon thalamic reliability, a strategy of frequency proportional control with proportional bias delivered the optimal control achieved for a given energy expenditure. In comparison, control based upon synaptic inhibitory output from the GPi performed very well in comparison with those of reliability-based control, with considerable further reduction in energy expenditure relative to that of open-loop DBS. The best controller performance was amplitude proportional with derivative control and integral bias, which is full PID control. We demonstrated how optimizing the three components of PID control is feasible in this setting, although the complexity of these optimization functions argues for adaptive methods in implementation. Significance. Our findings point to the potential value of model-based rational design of feedback controllers for Parkinson's disease.

Gorzelic, P.; Schiff, S. J.; Sinha, A.

2013-04-01

206

RF control at SSCL - an object oriented design approach  

International Nuclear Information System (INIS)

The Superconducting Super Collider (SSC) in Texas, the construction of which was stopped in 1994, would have represented a major challenge in accelerator research and development. This paper addresses the issues encountered in the parallel design and construction of the control systems for the RF equipment for the five accelerators comprising the SSC. An extensive analysis of the components of the RF control systems has been undertaken, based upon the Schlaer-Mellor object-oriented analysis and design (OOA/OOD) methodology. The RF subsystem components such as amplifiers, tubes, power supplies, PID loops, etc. were analyzed to produce OOA information, behavior and process models. Using these models, OOD was iteratively applied to develop a generic RF control system design. This paper describes the results of this analysis and the development of 'bridges' between the analysis objects, and the EPICS-based software and underlying VME-based hardware architectures. The application of this approach to several of the SSCL RF control systems is discussed. ((orig.)).

1994-01-01

207

Optimal Design of Neural Fuzzy Inference Network for Temperature Controller  

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Full Text Available In this study, a Neural Fuzzy Inference Network (NFIN) for controlling the temperature of the system has been proposed. The NFIN is inherently a modified fuzzy rule based model possessing neural networks learning ability using hybrid learning algorithm which combines gradient descent and least mean square algorithm. In contrast to the general adaptive neural fuzzy networks where the rules should be decided in advance before parameter learning is performed, there are no rules initially in the NFIN. The rules in the NFIN are created and adapted as on-line learning proceeds via simultaneous structure and parameter identification. The NFIN has been applied to a practical water bath temperature control system, designed and developed around Atmels 89C51 microcontroller. In the above system, four experiments were conducted on water bath each for 250 and 500 mL min-1 flow of water for different volume of water and power of heater. The performance of NFIN has been compared with Fuzzy Logic Controller (FLC) and conventional Proportional Integral Derivative (PID) controller. The three control schemes are compared through experimental studies with respect to set point regulation. It is found that the proposed NFIN control scheme has the best control performance of the three control schemes.

Nisha Jha; Udaibir Singh; T.K. Saxena; Avinashi Kapoor

2011-01-01

208

Feedback control for counterflow thrust vectoring with a turbine engine: Experiment design and robust control design and implementation  

Science.gov (United States)

Engineering research over the last few years has successfully demonstrated the potential of thrust vector control using counterflow at conditions up to Mach 2. Flow configurations that include the pitch vectoring of rectangular jets and multi-axis vector control in diamond and axisymmetric nozzle geometries have been studied. Although bistable (on-off) fluid-based control has been around for some time, the present counterflow thrust vector control is unique because proportional and continuous jet response can be achieved in the absence of moving parts, while avoiding jet attachment, which renders most fluidic approaches unacceptable for aircraft and missile control applications. However, before this study, research had been limited to open-loop studies of counterflow thrust vectoring. For practical implementation it was vital that the counterflow scheme be used in conjunction with feedback control. Hence, the focus of this research was to develop and experimentally demonstrate a feedback control design methodology for counterflow thrust vectoring. This research focused on 2-D (pitch) thrust vectoring and addresses four key modeling issues. The first issue is to determine the measured variable to be commanded since the thrust vector angle is not measurable in real time. The second related issue is to determine the static mapping from the thrust vector angle to this measured variable. The third issue is to determine the dynamic relationship between the measured variable and the thrust vector angle. The fourth issue is to develop dynamic models with uncertainty characterizations. The final and main goal was the design and implementation of robust controllers that yield closed-loop systems with fast response times, and avoid overshoot in order to aid in the avoidance of attachment. These controllers should be simple and easy to implement in real applications. Hence, PID design has been chosen. Robust control design is accomplished by using ?1 control theory in conjunction with the Popov-Tsypkin multiplier. The resulting optimization problem was solved using a real coded genetic-algorithm.

Dores, Delfim Zambujo Das

209

Investigation on the use digital controls instead of PID analog controls in the level control of steam generators of nuclear power PWR; Investigacao sobre o uso de controladores digitais em substituicao aos controladores analogicos PID para o controle de nivel de geradores de vapor de centrais nucleares PWR  

Energy Technology Data Exchange (ETDEWEB)

The aim of this study is to identify current alternatives for the implementation of digital controllers in the level control of steam generators of nuclear power PWR (Pressurized Water Reaetor). It is intended to identify the types of digital controls that are available from the theoretical and conceptual viewpoints for this purpose. We investigate the advantages and disadvantages of each controller model. From this assessment are pointed the most suitable models in hierarchical scale. This evaluation also serves to suggest possible types of control installation as a whole, where the level control of the steam generators becomes just one of many controls that are part of the plant. In this case, the use of digital controls allows the non-linear and multivariable treatment which is characteristic of complex systems, such as the nuclear power generation. The treatment of nonlinearities and multivariable aspects allows a more detailed study of the stability of these plants when they are subject to transients or several accidents, such as the case of losing external power of transients. In the specific case of steam generators, the instabilities result from the emergence of the shrink and swell phenomenas, depending on the load variations of thermonuclear plant. The application of several types and digital controllers, considering these inherent characteristics of the level control of steam generators, allows to infer which types of controllers are more appropriate to treat instabilities of this type and to make conjectures in its use for the cases of more complex instabilities, considering the integration of all nucleus-plant controls.

Alvarenga, Marco Antonio Bayout

2012-07-01

210

Speed Control of Separately Excited Dc Motor Using Fuzzy Logic Controller  

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Full Text Available This paper demonstrates the importance of a fuzzy logic controller over conventional method. The speed control of a separately excited DC motor is performed using fuzzy logic controller (FLC) in MATLAB environment. The controller is designed based on the expert knowledge of the system. For the proposed dc motor case, there are 9 fuzzy rules designed for fuzzy logic controller. The output response of the system is obtained by using two types of controllers, namely, PID and fuzzy logic controller. The performance of the designed fuzzy controller and classic PID Speed controller is compared and investigated. Finally, the result shows that the fuzzy logic approach has minimum overshoot, minimum transient and steady state parameters, which shows more effectiveness and efficiency of FLC than conventional PID controller.

Rekha kushwah#1 , Sulochana Wadhwani

2013-01-01

211

Controller design for interval plants  

International Nuclear Information System (INIS)

[en] We make use of celebrated Kharitoniv theorem to come up with a design procedure for the stabilization of uncertain systems in the parameters using low order controllers. The proposed design is based on classical design methods. A Non-linear programming (NLP) approach for the design of higher order controllers is also presented. We present our results and give illustrating examples. (author)

2003-01-01

212

Auto-ajustement de régulateurs PID robustes dans le domaine fréquentiel  

Digital Repository Infrastructure Vision for European Research (DRIVER)

This work considers the adjustment of proportional-integral-derivative (PID) controllers. Because of their very simple structures, this kind of controllers are very appreciated, and used abundantly by the industrial community. The restricted number of the controller parameters often implies moderate...

Garcia, Daniel

213

Digital Linear and Nonlinear Controllers for Buck Converter  

Directory of Open Access Journals (Sweden)

Full Text Available Both linear PID controllers and fuzzy controllers are designed and implemented for a buck converter. Comparison between the two controllers is made in the aspect of design, implementation and experimental results. Design of fuzzy controllers is based on heuristic knowledge of the converter and tuned using trial and error, while the design of linear PID and PI controllers is based on the frequency response of the buck converter. Implementation of linear controllers is quite straightforward, while implementation of fuzzy controllers has its unique issues. A comparison of experimental results indicates that the performance of the fuzzy controller is superior to that of the linear PID and PI controllers. The fuzzy controller is able to achieve faster transient response, has more stable steady-state response, and is more robust under different operating points.

Shyama M; P.Swaminathan

2012-01-01

214

Improved Artificial Fish Algorithm for Parameters Optimization of PID Neural Network  

Directory of Open Access Journals (Sweden)

Full Text Available In order to solve problems such as initial weights are difficult to be determined, training results are easy to trap in local minima in optimization process of PID neural network parameters by traditional BP algorithm, this paper proposed a new method based on improved artificial fish algorithm for parameters optimization of PID neural network. This improved artificial fish algorithm uses a composite adaptive artificial fish algorithm based on optimal artificial fish and nearest artificial fish to train network weights parameters of PID neural network. By comparing food consistence in preying behavior to adaptively select vision and step of artificial fish, this method overcomes shortcomings such as slow convergence speed, low optimization accuracy of basic artificial fish algorithm. Simulations of PID neural network system whose parameters are trained respectively through BP algorithm and improved artificial fish algorithm are conducted respectively in the MATLAB environment. The simulation result shows that the PID neural network control system whose parameters are trained by the improved artificial fish algorithm has a better control effect, especially for nonlinear systems

Jing Wang; Yourui Huang

2013-01-01

215

Design, Modeling and Simulation of a Microcontroller Based Temperature Control in a Ventilation System  

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Full Text Available Performance evaluation of PID controllers implemented with a clear objective to control the temperature of a ventilation system is the focal point of this paper. Mathematical models of plant (chamber) and actuator were developed. Controller design based on the models was also developed using Simulink. The models were validated through simulation using Matlab/Simulink and the Zeigler-Nichol tuning method was adopted as the tuning technique for varying the parameters of the PID controller in order to achieve a desirable transient response of the system when subjected to a unit step input. A schematic model of the system was also captured using proteus and the animated simulation was carried out to validate the system’s performance to varying temperature conditions within the chamber. After several assumptions and simulations, a set of optimal parameters was obtained that exhibited a commendable improvement in the overshoot, rise time, peak time and settling time thus improving the robustness and stability of the system.

K.AAKPADO, C.O.EZEAGWU, A.EJIOFOR, A.O.NWOKEKE

2013-01-01

216

Metodología de implementación de un controlador PID difuso en una FPGA  

Scientific Electronic Library Online (English)

Full Text Available Abstract in spanish En este trabajo se describe una metodología para diseñar un Controlador PID Difuso para ser implementado en un arreglo de compuertas lógicas programables (FPGA). El desarrollo del controlador se basó en el comportamiento dinámico (en un sistema de control simulado) del error, diferencial del error y la salida de mencionado sistema. Se describen las diferentes fases de la metodología, además de mencionar las herramientas de diseño asistido por computadora en las fa (more) ses que lo requieren. Se describe el diseño a implementar en la FPGA en el estándar VHDL. Finalmente se inserta el Controlador PID Difuso en un sistema de control de nivel, el cual ilustra la aplicación de cada fase de la metodología visto de una manera real. Se pueden implementar Controladores PID Difusos en plataformas de poca capacidad matemática y de memoria, con respuesta aceptables en corto tiempo.

López R., Leonardo J.; Zulay E., Franco M.; Pateti M., Antonio S.

2006-07-01

217

Fuzzy Logic Simulation to Process Control Systems  

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Full Text Available This paper presents simulations of two process control systems using fuzzy Logic Controller. The aim of this paper is to create a convenient adaptable simulation systems that can model particular control systems and obtain solutions by applications of the fuzzy logic technology. The performance of the process control systems with fuzzy logic controller is compared with that of the conventional proportional Integral and Derivative (PID) controller. This fuzzy logic based process control system needs design of the appropriate rule base. It is shown that the response of the system with fuzzy logic controller (FLC) is better in comparison with the system performance using the conventional PID control method.

M. Shaharurrizal B.M.W.; Farrah D. Herman; A. Arunagiri; Stella Morris

2002-01-01

218

Fuzzy scheduled RTDA controller design.  

UK PubMed Central (United Kingdom)

In this paper, the design and development of fuzzy scheduled robustness, tracking, disturbance rejection and overall aggressiveness (RTDA) controller design for non-linear processes are discussed. pH process is highly non-linear and the design of good controller for this process is always a challenging one due to large gain variation. Fuzzy scheduled RTDA controller design based on normalized integral square error (N_ISE) performance criteria for pH neutralization process is developed. The applicability of the proposed controller is tested for other different non-linear processes like type I diabetic process and conical tank process. The servo and regulatory performance of fuzzy scheduled RTDA controller design is compared with well-tuned internal model control (IMC) and dynamic matrix control (DMC)-based control schemes.

Srinivasan K; Anbarasan K

2013-03-01

219

A simulation environment for dry-expansion evaporators with application to the design of autotuning control algorithms for electronic expansion valves  

Energy Technology Data Exchange (ETDEWEB)

In this paper some results of a research project aimed at deriving high-performance, adaptive control algorithms for electronic expansion valves (EEVs) to be used in finned-coiled, dry-expansion evaporators for refrigeration systems are reported. With the aim of developing a software environment that can be used for controller design, rapid prototyping, optimization of data collection and test design, virtual prototyping approach to design was adopted. The development of a distributed dynamic simulation model of the evaporator coupled with an electronic expansion valve, and its use for deriving autotuning PID control algorithms is described. Experimental results confirm the effectiveness of this kind of approach. (author)

Beghi, Alessandro [Dipartimento di Ingegneria dell' Informazione, Universita di Padova, via Gradenigo 6/B, I-35131 Padova (Italy); Cecchinato, Luca [Dipartimento di Fisica Tecnica, Universita di Padova, via Venezia 1, I-35131 Padova (Italy)

2009-11-15

220

Current Search: Performance Evaluation and Application to DC Motor Speed Control System Design  

Directory of Open Access Journals (Sweden)

Full Text Available This paper proposes the current search (CS) metaheuristics conceptualized from the electric current flowing through electric networks for optimization problems with continuous design variables. The CS algorithm possesses two powerful strategies, exploration and exploitation, for searching the global optimum. Based on the stochastic process, the derivatives of the objective function is unnecessary for the proposed CS. To evaluate its performance, the CS is tested against several unconstrained optimization problems. The results obtained are compared to those obtained by the popular search techniques, i.e., the genetic algorithm (GA), the particle swarm optimization (PSO), and the adaptive tabu search (ATS). As results, the CS outperforms other algorithms and provides superior results. The CS is also applied to a constrained design of the optimum PID controller for the dc motor speed control system. From experimental results, the CS has been successfully applied to the speed control of the dc motor.

Deacha Puangdownreong

2013-01-01

 
 
 
 
221

Application of an improved PSO algorithm to optimal tuning of PID gains for water turbine governor  

International Nuclear Information System (INIS)

In this paper, an improved particle swarm optimization (IPSO) algorithm is proposed. Besides the individual best position and the global best position, a nominal average position of the swarm is introduced in IPSO. The performance of IPSO is compared to different PSO variants with five well-known benchmark functions. The experimental results show that the proposed IPSO algorithm improves the searching performance on the benchmark functions. And then, IPSO, as well as other PSO variants, is applied to optimal tuning of Proportional-Integral-Derivative (PID) gains for a typical PID control system of water turbine governor. The computer simulation results of an actual hydro power plant in China show that IPSO algorithm has stable convergence characteristic and good computational ability, and it is an effective and easily implemented method for optimal tuning of PID gains of water turbine governor.

2011-01-01

222

Architectures of Computational Verb Controllers: Towards a New Paradigm of Intelligent Control  

Directory of Open Access Journals (Sweden)

Full Text Available There are at least two kinds of methods of designing(computational) verb proportional-integral-derivative(PID) controllers.The first one is to generalize fuzzy PID controllersby substituting “BE” in fuzzy control rules with non-staticcomputational verbs. The second one is to directly constructevolving functions of verbs in human experiences of dynamicprocesses. These methods will lead to different architectures ofverb PID controllers because computational verb theory can beused in different situations where adjectives or noun phraseshave different computational interpretations. Three examples ofthese computational interpretations of nouns are crisp, fuzzy andprobabilistic. Correspondingly, a PID controller can be designedbased on crisp or fuzzy representations of human experiences. Ifthe dynamic aspects of these human experiences are emphasizedexplicitly, the resulting design principle must take advantage ofthe computational verb theory. This is the principle behind thearchitectures of the verb PID controllers. The basics of fuzzylogic and fuzzy PID controllers can help the reader to understandthis paper. However, the fuzzy logic is only one of at least threemethods of interpreting computational nouns used together withcomputational verbs. Therefore, fuzzy logic is not an essentialcomponent for designing computational verb controllers thoughit is a very helpful component.In this paper, a detailed method of designing verb PIDcontrollers by generalizing fuzzy PID controllers are presented.The static and local fuzzy rules are transformed into dynamic andglobal verb rules by representing fuzzy rule sets on phase plots.The control trajectories are chunked into a set of computationalverbs based on the dynamic experiences generated by therelations among a group of fuzzy control rules. Using thesecomputational verbs, three sets of control rules, respectively forP-, I- and D-components, based on computational verbs(verbrules for short) are generated from the dynamic experiencesmodelled by using mental experiments. To implement these verbrules, verb implication relations are constructed based on verbsimilarity functions which are generated based on a set ofstandard verbs for modelling dynamic experiences. The last stepto implement verb PID controllers is to calculate the control verbbased on the observe verb and verb rule inference called verbgeneralized modus ponens(GMP). The results of a verb GMP isa verb similarity which is the union of a set of verb similarityfunctions modified by verb rule firing adverbs. At the symboliclevel, the resulting verb similarity of a verb GMP correspondingto a control verb. The control verb must be deverbified intoa conventional control signal before the control loop can beclosed in the physical world. Simulation results for controlling adelayed second-order process are used to demonstrate the designprocesses for verb P-, PD- and PID controllers.

Tao Yang

2005-01-01

223

Genetic Design of an Interval Type-2 Fuzzy Controller for Velocity Regulation in a DC Motor  

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Full Text Available This paper proposes the design of a Type?2 Fuzzy Logic Controller (T2?FLC) using Genetic Algorithms (GAs). The T2?FLC was tested with different levels of uncertainty to regulate velocity in a Direct Current (DC) motor. The T2?FLC was synthesized in Very High Description Language (VHDL) code for a Field?programmable Gate Array (FPGA), using the Xilinx System Generator (XSG) of Xilinx ISE and Matlab?Simulink. Comparisons were made between the Type?1 Fuzzy Logic Controller and the T2?FLC in VHDL code and a Proportional Integral Differential (PID) Controller so as to regulate the velocity of a DC motor and evaluate the difference in performance of the three types of controllers, using the t?student test statistic.

Yazmin Maldonado; Oscar Castillo

2012-01-01

224

Electronic Throttle Control System: Modeling, Identification and Model-Based Control Designs  

Directory of Open Access Journals (Sweden)

Full Text Available Electronic throttle control (ETC) system has worked its way to becoming a standard subsystem in most of the current automobiles as it has contributed much to the improvement of fuel economy, emissions, drivability and safety. Precision control of the subsystem, which consists of a dc motor driving a throttle plate, a pre-loaded return spring and a set of gear train to regulate airflow into the engine, seems rather straightforward and yet complex. The difficulties lie in the unknown system parameters, hard nonlinearity of the pre-loaded spring that pulls the throttle plate to its default position, and friction, among others. In this paper, we extend our previous results obtained for the modeling, unknown system parameters identification and control of a commercially available Bosch’s DV-E5 ETC system. Details of modeling and parameters identification based on laboratory experiments, data analysis, and knowledge of the system are provided. The parameters identification results were verified and validated by a real-time PID control implemented with an xPC Target. A nonlinear control design was then proposed utilizing the input-output feedback linearization approach and technique. In view of a recent massive auto recalls due to the controversial uncontrollable engine accelerations, the results of this paper may inspire further research interest on the drive-by-wire technology.

Robert N. K. Loh; Witt Thanom; Jan S. Pyko; Anson Lee

2013-01-01

225

Universal Controller Design Using Arm Controller  

Directory of Open Access Journals (Sweden)

Full Text Available In this paper, different control strategies are discussed and design of universal (process) controller on ARM embedded platform is proposed. The same controller support feedback, cascade, ratio and feed forward control strategy. The LPC2148 kit (ARM7 controller) is used for the application which has many features which are also discussed in the paper.MODBUS RTU protocol is used for communication.GUI is developed in Wonderware In touch (SCADA) software. Keil µvision 4 IDE is used for programming ARM controller

Mohsin A. Bandi, Mr. Naimesh B. Mehta

2012-01-01

226

Control Structure Impact on the Flying Performance of the Multi-Rotor VTOL Platform - Design, Analysis and Experimental Validation  

Directory of Open Access Journals (Sweden)

Full Text Available The aim of this research is to examine the different control strategies for the unmanned aerial vehicles (UAV). The control task is formulated as an angular stabilization of the four rotor platform, and also as a tracking problem of chosen state variables. The PID algorithm has been considered in three structures in respect of the optimal control signal applied to the actuators. For better performance of the quadrotor in hover mode the cascade control system has been proposed. The simulation results of attitude control with different PID controller architectures are presented, and confirm the effectiveness of the proposed control structure and theoretical expectations. Moreover, the design and the practical realization of the control architecture on the experimental aerial vehicle are described. The fast prototyping method together with Matlab/Simulink software and DAQ hardware are used for both evolution and validation of control algorithms. The capacity of the attitude stabilization system is important in the development process of more advanced functionality of autonomous flying vehicles; therefore it needs to be highlighted and taken into careful consideration.

Roman Czyba; Grzegorz Szafranski

2013-01-01

227

Doble lazo de control para regular la posición y la velocidad en un motor de corriente directa/ Double Control Loop for Adjusting Position and Speed in a Direct Current Motor/ Laço duplo de controle para regular a posição e a velocidade em um motor de corrente direta  

Scientific Electronic Library Online (English)

Full Text Available Abstract in portuguese Este artigo apresenta o processo de desenho e implementação de um controle de velocidade e posição para um motor de corrente direta, em laço duplo, com quatro tipos de controladores: PID clássico, PID difuso, difuso e PID não linear, baseado em heurística, o qual é uma proposta dos autores. Enfatizam-se os aspectos como o desenvolvimento da etapa de potência, a elaboração de algoritmos para a medida das variáveis, a estimativa de um modelo matemático do motor e o controle em tempo real em Matlab. Abstract in spanish Este artículo presenta el proceso de diseño e implementación de un control de velocidad y posición para un motor de corriente directa, en doble lazo, con cuatro tipos de controladores: PID clásico, PID difuso, difuso y PID no lineal, basado en heurística, el cual es una propuesta de los autores. Se hace hincapié en aspectos como el desarrollo de la etapa de potencia, la elaboración de algoritmos para la medida de las variables, la estimación de un modelo matemático de la planta y el control en tiempo real en Matlab. Abstract in english This paper presents the design and implementation process of a speed and position control for a direct current motor using double loop and four algorithms: classical PID, fuzzy PID, fuzzy, and a heuristic-based nonlinear PID, which is proposed by the authors. There is a special emphasis on the development of the power stage, the development of algorithms for measuring variables, the modeling stage and, finally, the real time control using Matlab.

Rairán-Antolines, José Danilo; Fonseca-Gómez, José Miguel

2011-07-01

228

Design of Force Rebalance Loop for Silicon Accelerometer using Parametric Robust Control Technique  

Energy Technology Data Exchange (ETDEWEB)

In this paper, presented are an active surface-micromachined silicon accelerometer, force rebalance loop using parametric robust control method, and experimental results with a real micromachined accelerometer. And finally, a robust controller of the form of PID compensator was designed to construct force rebalance loop. Through the frequency response analysis, it is shown that the loop guarantees appropriate stability and robustness. Experiments with a real accelerometer demonstrated that the proposed loop effectively controls the position of the accelerometer's proof mass. It also demonstrated that the resolution of the fabricated accelerometer is better than 1mg. Compared with a commercial accelerometer the proposed force rebalance silicon accelerometer showed better performances. (author). 10 refs., 15 figs., 3 tabs.

Sung, Sang Kyung; Lee, Jang Gyu [Seoul National University (Korea); Kang, Tae Sam [Hoseo University (Korea)

2000-03-01

229

Intelligent control system design aid  

Energy Technology Data Exchange (ETDEWEB)

This thesis develops the framework for an intelligent Computer Aided Control System Design (CACSD) Aid. Such systems are intended to allow engineer who are not control system specialists to effectively solve control-system problems. To achieve this objective, a model was developed to explain the behavior of human designer when solving routine controls problems. The model reflects that the designer solves control system problems by breaking the overall problem into successively smaller parts, each of which fall into one of three classes: (1) Analyzing the problem and/or deciding on a design approach to take, i.e., diagnostic or deductive tasks which are heuristic in nature; (2) Following a recipe for design until either the solution is reached or something goes wrong; (3) Calculating a result, number crunching, etc. The Design Aid has the following intelligent features: (1) Introspection. The Design Aid is able to explain decisions made en route to a problem solution. (2) Modifiable Knowledge Base. The user can create, modify, and delete rules according to his own preference and experience. (3) Flexible Division of Labor. The user is able to work on any part of the design at any time and have the Design Aid fill in the rest. (4) Expertise. The problem solving performance of the prototype system is roughly comparable to that of a student who has taken an introductory controls course. The Design Aid is structured as a hierarchy of specialists that solve parts of the design problem and/or pass parts of the problem to subspecialists.

Curran, A.R.

1987-01-01

230

[The control method design of thermal treatment system via fuzzy logic].  

UK PubMed Central (United Kingdom)

A novel system is proposed to control the liquid nitrogen cooling and radio frequency heating of tissue to achieve effective thermal ablation in the treatment using fuzzy logic controller and fuzzy logic PID type controller separately. Results of ex-vivo pig liver experiments demonstrate that this system is useful and could p control the desired treatment procedure.

Song M; Cai Z; Bai J; Sun J

2012-05-01

231

Fuzzy Logic based Current Control Schemes for Vector-controlled Asynchronous Motor Drives  

Digital Repository Infrastructure Vision for European Research (DRIVER)

In this study, a kind of two-dimensional fuzzy PID controller is designed acted as current regulator of SVPWM asynchronous motor vector-controlled drives for the sake of improving the dynamic and steady state performance of current control of this type of system. Two kind of control schemes are prop...

Gan Jia- Liang; Zhang Hong- Xia; Zhao Jin

232

Transient modeling of an air-cooled chiller with economized compressor. Part II: Application to control design  

International Nuclear Information System (INIS)

Based on the transient modeling developed in the previous paper, the control design of the air-cooled chiller is studied. The main electronic expansion valve (EXV) controls the suction superheat, the compressor controls the leaving water temperature and the sub EXV regulates the injection superheat. Since the system reliability is sensitive to the control of the suction superheat, it is the focus in this paper. Dynamic simulation cases are built to compare two control algorithms, PID and fuzzy logic. The case studies show that the fuzzy controller has higher reliability and performance. Both the two controllers are fully tested and tuned on a chiller test facility and the experiments indicate that the fuzzy controller works better as well.

2000-01-00

233

Design of Electric Bicycle Controller  

Directory of Open Access Journals (Sweden)

Full Text Available This article introduces a sort of intelligent brushless DC motor driver and its concrete application in electric bicycle, and discusses the hardware and software design scheme of the controller, and realizes the speed control, over-current protection and battery under-voltage protection of the brushless DC motor. And the experiment result indicates that the control effect is good, and it could fulfill the application requirement of electric bicycle.

Jie Cong

2009-01-01

234

Ergonomics and control room design  

International Nuclear Information System (INIS)

[en] The application of ergonomic principles to the design process and some aspects of the Sizewell B control room is discussed. Also outlined is the management process which ensures that these principles are applied systematically throughout the design development activity and highlights the functional requirements which must also be met in the creation of a total man-machine system package which meets all the technical design criteria. The ergonomics requirements are part of this process and extend into all aspects of design ranging from such matters as workplace organization to environmental factors, social engineering, communications and aesthetics. (author)

1987-01-01

235

Design of real-time monitoring and control system of 222Rn/220Rn sampling for radon chamber  

International Nuclear Information System (INIS)

[en] This paper describes the design of 222Rn/220Rn sampling monitoring and control system based on single-chip microcomputer of series Intel51. The hardware design involves the choosing and usage of sensors-chips, A/D conversion-chip, USB interface-chip, keyboard-chip, digital display-chip, photoelectric coupling isolation-chips and drive circuit-chips of the direct current pump. Software design is composed by software of Personal Computer (PC) and software of Single Chip Microcomputer (SCM). The data acquisition and conversion and the flux control of direct current pump are realized by using soft of Visual Basic and assemble language. The program flow charts are given. Furthermore, we improved the stability of the direct current pump by means of PID Control Algorithms. (authors)

2008-01-01

236

Hardware/Software Co-design Approach for an ADALINE Based Adaptive Control System  

Directory of Open Access Journals (Sweden)

Full Text Available In this paper, we report some results on hardware and software co-design of an adaptive linear neuron (ADALINE) based control system. A discrete-time Proportional- Integral-Derivative (PID) controller is designed based on the mathematical model of the plant. The parameters of the plant model are identified on-line by an ADALINE neural network. In order to efficiently and economically implement the designed control system, a Field Programmable Gate Array (FPGA) chip is employed to process the measured data and generate control signals. Moreover, a microprocessor is exploited to perform the core computation of the ADALINE algorithm. Throughout the paper, we design and test the control system for a permanent magnetic DC motor. Our experiment results demonstrate the effectiveness of the proposed approach. It is worth noting that the experimental bed in the present paper can also be used as a low-cost general prototype to satisfactorily test adaptive control systems, owing to the benefit of software and hardware co-design.

Shouling He; Xuping Xu

2008-01-01

237

ISABELLE control system: design concepts  

International Nuclear Information System (INIS)

ISABELLE is a Department of Energy funded proton accelerator/storage ring being built at Brookhaven National Laboratory (Upton, Long Island, New York). It is large (3.8 km circumference) and complicated (approx. 30,000 monitor and control variables). It is based on superconducting technology. Following the example of previous accelerators, ISABELLE will be operated from a single control center. The control system will be distributed and will incorporate a local computer network. An overview of the conceptual design of the ISABELLE control system will be presented

1979-10-04

238

Multivariable Predictive Control of the Main Steam Temperature in Power Plant  

Directory of Open Access Journals (Sweden)

Full Text Available This paper aims at the problems existing in the cascade Proportional Integration Differential (PID) control of the main steam temperature system in power plants nowadays, such as large dynamic deviation, poor load adaptability. etc. The two multivariable model predictive controllers are designed and applied to control the second stage desuperheater inlet temperature and the main steam temperature, respectively, which is aimed by the simulation platform for 200 MW unit. The controlled object of the main steam temperature is simulated, and both predictive control and cascade PID control strategies are designed to control the object. The results of the stimulation experiments have shown that the predictive controller is superior to the traditional cascade PID controller in dynamic deviation and load adaptability of main steam temperature in power plant.

Wang Ting; Feng Xiaolu; Chen Jiangtao; Zhang Rong; Xu Wei

2013-01-01

239

Pelvic inflammatory disease (PID) from Chlamydia trachomatis versus PID from Neisseria gonorrhea: from clinical suspicion to therapy.  

Science.gov (United States)

Pelvic inflammatory disease (PID) is the most significant complication of sexually transmitted infections in childbearing-age women and it represents an important public health problem because of its long-term sequelae (chronic pelvic pain, tubal infertility, ectopic pregnancy). Prior to the mid 1970s PID was considered a monoetiologic infection, due primarily to Neisseria gonorrhea. Now it is well documented as a polymicrobial process, with a great number of microrganisms involved. In addition to Neisseria gonorrhea and Chlamydia trachomatis, other vaginal microrganisms (anaerobes, Gardnerella vaginalis, Haemophilus influenzae, enteric Gram negative rods, Streptococco agalactie, Mycoplasma genitalium) also have been associated with PID. There is a wide variation in PID clinical features; the type and severity of symptoms vary by microbiologic etiology. Women who have chlamydial PID seem more likely than women who have gonococcal PID to be asymptomatic. Since clinical diagnosis is imprecise, the suspicion of PID should be confirmed by genital assessment for signs of inflammation or infection, blood test and imaging evaluation. Laparoscopic approach is considered the gold standard. According to the polymicrobial etiology of PID, antibiotic treatment must provide broad spectrum coverage of likely pathogens. Early administration of antibiotics is necessary to reduce the risk of long-term sequelae. PMID:23007248

De Seta, F; Banco, R; Turrisi, A; Airoud, M; De Leo, R; Stabile, G; Ceccarello, M; Restaino, S; De Santo, D

2012-10-01

240

Pelvic inflammatory disease (PID) from Chlamydia trachomatis versus PID from Neisseria gonorrhea: from clinical suspicion to therapy.  

UK PubMed Central (United Kingdom)

Pelvic inflammatory disease (PID) is the most significant complication of sexually transmitted infections in childbearing-age women and it represents an important public health problem because of its long-term sequelae (chronic pelvic pain, tubal infertility, ectopic pregnancy). Prior to the mid 1970s PID was considered a monoetiologic infection, due primarily to Neisseria gonorrhea. Now it is well documented as a polymicrobial process, with a great number of microrganisms involved. In addition to Neisseria gonorrhea and Chlamydia trachomatis, other vaginal microrganisms (anaerobes, Gardnerella vaginalis, Haemophilus influenzae, enteric Gram negative rods, Streptococco agalactie, Mycoplasma genitalium) also have been associated with PID. There is a wide variation in PID clinical features; the type and severity of symptoms vary by microbiologic etiology. Women who have chlamydial PID seem more likely than women who have gonococcal PID to be asymptomatic. Since clinical diagnosis is imprecise, the suspicion of PID should be confirmed by genital assessment for signs of inflammation or infection, blood test and imaging evaluation. Laparoscopic approach is considered the gold standard. According to the polymicrobial etiology of PID, antibiotic treatment must provide broad spectrum coverage of likely pathogens. Early administration of antibiotics is necessary to reduce the risk of long-term sequelae.

De Seta F; Banco R; Turrisi A; Airoud M; De Leo R; Stabile G; Ceccarello M; Restaino S; De Santo D

2012-10-01

 
 
 
 
241

Control Modes Comparison Results Focused on Real Heat Exchanger System Response  

Directory of Open Access Journals (Sweden)

Full Text Available This paper focus on the heat exchanger system temperature control design based on mathematical model. The mathematical model is constructed using dynamics and real parameters of the heat exchanger. The heat exchanger model is QAD MODEL BDT921. Two types of control are applied; they are Proportion Integral Derivative (PID) controller and Fuzzy Proportional (FD) controller. PID is a generic control loop feedback mechanism attempts to correct the error between a measured process variable and a desired set point by calculating and then outputting a corrective action. While FD is a controller that it base on the logical of the human expert. The two controllers are simulated using Matlab Simulink software. The results show that FD controller response better than PID controller. It means FD controller is a suitable control to improve the performance of the heat exchanger QAD MODEL BDT921 model.

Dirman Hanafi; Abdulrahman A.A. Emhemed

2011-01-01

242

A NOVEL APPROACH OF LOAD FREQUENCY CONTROL IN MULTI ARAE POWER SYSTEM  

Directory of Open Access Journals (Sweden)

Full Text Available The main objective of Load Frequency Control(LFC) is to regulate the power output of the electric generator within an area in response to changes in system frequency and tie-line loading .Thus the LFC helps in maintaining the scheduled system frequency and tie-line power interchange with the other areas within the prescribed limits. Most LFCs are primarily composed of an integral controller. The integrator gain is set to a level that the compromises between fast transient recovery and low overshoot in the dynamic response of the overall system. This type of controller is slow and does not allow the controller designer to take in to account possible changes in operating condition and non-linearities in the generator unit. Moreover, it lacks in roubustness.Therefore the simple neural networks can alleviate this difficulty.This paper presents the Artificial Neural Network (ANN) is applied to self tune theparameters of PID controller. Multi area system, have been considered for simulation of the proposed self tuning ANN based PID controller .The performance of the PID type controller with fixed gain, Conventional integral controller, and ANN based PID controller have been compared through MATLAB Simulation results carried out by 1% system disturbances both single area in multi area power system .Comparison of performance responses of integral controller & PID controller show that the neuralnetwork controller has quite satisfactory generalization capability, feasibility and reliability, as well as accuracy in both single and multi area system. The qualitative and quantitative comparison have been carried out for Integral, PID and ANN controllers. The superiority of the performance of ANN over integral and PID controller is highlighted.

V.SHANMUGA SUNDARAM,; Dr.T.JAYABHARATHI

2011-01-01

243

Neural Network based Closed loop Speed Control of DC Motor using Arduino Uno.  

Directory of Open Access Journals (Sweden)

Full Text Available This paper presents the design and implementation of Arduino Uno based DC motor speed control system using Multilayer Neural Network controller and PID controller. A model reference structure is developed using PID control to obtain the neural controller .The artificial neural network is trained by Levenberg-Marquardt back propagation algorithm. Feed forward neural network with two hidden neurons and one output neuron is used. Speed of the dc motor is controlled by varying the duty cycle of the pwm signal which is fed to the gate of the mosfet irf 640. Simulation and practical results are presented to demonstrate the effectiveness and advantage of the control system of DC motor with ANNs in comparison with the conventional control scheme in Matlab/Simulink R2009b. PID algorithm and ANN controller is implemented in Arduino Uno because of its easy compatibility and portability

Neerparaj Rai

2013-01-01

244

Non-linear Control of an Autonomous Ground Vehicle  

Digital Repository Infrastructure Vision for European Research (DRIVER)

In this paper, in order to select a speed controller for a specific non-linear autonomous ground vehicle, proportional-integral-derivative (PID), Fuzzy, and linear quadratic regulator (LQR) controllers were designed. Here, in order to carry out the tuning of the above controllers, a multicomputer ge...

Hernandez Perdomo, Wilmar; Cañas de Paz, Norberto

245

The German national registry for primary immunodeficiencies (PID).  

Science.gov (United States)

In 2009, a federally funded clinical and research consortium (PID-NET, http://www.pid-net.org) established the first national registry for primary immunodeficiencies (PID) in Germany. The registry contains clinical and genetic information on PID patients and is set up within the framework of the existing European Database for Primary Immunodeficiencies, run by the European Society for Primary Immunodeficiencies. Following the example of other national registries, a central data entry clerk has been employed to support data entry at the participating centres. Regulations for ethics approvals have presented a major challenge for participation of individual centres and have led to a delay in data entry in some cases. Data on 630 patients, entered into the European registry between 2004 and 2009, were incorporated into the national registry. From April 2009 to March 2012, the number of contributing centres increased from seven to 21 and 738 additional patients were reported, leading to a total number of 1368 patients, of whom 1232 were alive. The age distribution of living patients differs significantly by gender, with twice as many males than females among children, but 15% more women than men in the age group 30 years and older. The diagnostic delay between onset of symptoms and diagnosis has decreased for some PID over the past 20 years, but remains particularly high at a median of 4 years in common variable immunodeficiency (CVID), the most prevalent PID. PMID:23607573

Gathmann, B; Goldacker, S; Klima, M; Belohradsky, B H; Notheis, G; Ehl, S; Ritterbusch, H; Baumann, U; Meyer-Bahlburg, A; Witte, T; Schmidt, R; Borte, M; Borte, S; Linde, R; Schubert, R; Bienemann, K; Laws, H-J; Dueckers, G; Roesler, J; Rothoeft, T; Krüger, R; Scharbatke, E C; Masjosthusmann, K; Wasmuth, J-C; Moser, O; Kaiser, P; Groß-Wieltsch, U; Classen, C F; Horneff, G; Reiser, V; Binder, N; El-Helou, S M; Klein, C; Grimbacher, B; Kindle, G

2013-08-01

246

LMR design to facilitate control  

International Nuclear Information System (INIS)

Recent testing in the Experimental Breeder Reactor-II (EBR-II) has demonstrated the potential for passively accomplishing basic reactor safety functions. Tests have shown that reactor feedbacks can safely shut down the reactor for loss of flow and loss of heat sink accidents and that natural convection can subsequently cool the reactor without aid of active components. Analysis has indicated that passive safety for the transient overpower and loss of coolant events can also be achieved for a larger LMR with metal fuel. The analyses and experiments suggest that there will be both special constraints and opportunities for the design of automatic control and protection systems for inherently safe reactor plants. The constraints are generally a restriction on the ''control band'' of active components so that they cannot override the reactivity feedbacks, or natural convective heads which otherwise inherently carry out the safety functions. The opportunities for improvement of reactor controls are generally in two areas. First the complexity of safety systems (which evolves from the philosophy of safety reliability through redundancy, diversity and independence) can be reduced. The reliability and diverse nature of passive shutdown, convective heat removal and hydrostatic mitigation of leaks in the primary boundary allow considerable simplification or deletion of active control and protection system, while at the same time improving reliability of the safety functions. 10 refs., 4 figs.

1989-01-01

247

Control system design for a continuous positive airway pressure ventilator  

Directory of Open Access Journals (Sweden)

Full Text Available Abstract Continuous Positive Airway Pressure (CPAP) ventilation remains a mainstay treatment for obstructive sleep apnea syndrome (OSAS). Good pressure stability and pressure reduction during exhalation are of major importance to ensure clinical efficacy and comfort of CPAP therapy. In this study an experimental CPAP ventilator was constructed using an application-specific CPAP blower/motor assembly and a microprocessor. To minimize pressure variations caused by spontaneous breathing as well as the uncomfortable feeling of exhaling against positive pressure, we developed a composite control approach including the feed forward compensator and feedback proportional-integral-derivative (PID) compensator to regulate the pressure delivered to OSAS patients. The Ziegler and Nichols method was used to tune PID controller parameters. And then we used a gas flow analyzer (VT PLUS HF) to test pressure curves, flow curves and pressure-volume loops for the proposed CPAP ventilator. The results showed that it met technical criteria for sleep apnea breathing therapy equipment. Finally, the study made a quantitative comparison of pressure stability between the experimental CPAP ventilator and commercially available CPAP devices.

Chen Zheng-Long; Hu Zhao-Yan; Dai Hou-De

2012-01-01

248

Modeling, Design and Control of a Ship Carried 3 DOF Stabilized Platform  

Directory of Open Access Journals (Sweden)

Full Text Available The system for stabilizing platform of a ship carried antenna a nd its core component are discussed in this study. Relevant mathematics model of these components are established. Thus, the dynamic model of the system is deduced including the effects of friction, inertia and torque motors. Using Solid Works, we built the mechanical structure, including the servo machine of each part of the system. The system under consideration is a system with strong interactions between three channels. By using the concept of decentralized control, a control structure is developed that is composed of three control loops, each of which is associated with a single-variable controller. First, PID controller was applied; then, Takagi-Sugeno (TS) fuzzy controller was used for controlling the platform. Simulation tests were established using Simulink of Matlab. The obtained results have demonstrated the feasibility and effectiveness of the proposed fuzzy approach comparing to the PID controller. Simulation results are represented in this study.

Leghmizi Said; Liu Sheng; Naeim Farouk; Boumediene Latifa

2012-01-01

249

HAMMLAB 1999 experimental control room: design - design rationale - experiences  

Energy Technology Data Exchange (ETDEWEB)

A presentation of HAMMLAB 1999 experimental control room, and the accumulated experiences gathered in the areas of design and design rationale as well as user experiences. It is concluded that HAMMLAB 1999 experimental control room is a realistic, compact and efficient control room well suited as an Advanced NPP Control Room (ml)

Foerdestroemmen, N. T.; Meyer, B. D.; Saarni, R. (Institutt for energiteknikk, OECD Halden Reactor Project, Halden (Norway))

1999-05-15

250

MATLAB simulation for an experimental setup of digital feedback control  

International Nuclear Information System (INIS)

This paper describes the digital feedback simulation using MATLAB for an experimental accelerator control setup. By analyzing the plant characteristic in time-domain and frequency-domain, a guideline for design of digital filter and PID controller is derived. (authors)

2005-01-01

251

Linear Design Approach to a Fuzzy Controller  

DEFF Research Database (Denmark)

A ball-balancer, basically an inverted pendulum problem, is stabilised by a linear controller. With certain design choices, a fuzzy controller is equivalent to a summation; thus it can replace the linear controller. It can be claimed, that the fuzzy controller performs at least as well as the linear controller, since the linear controller is contained in the fuzzy controller. The approach makes it somewhat easier to design a fuzzy controller.

Jantzen, Jan

1999-01-01

252

Process Control Design Using SPIN  

UK PubMed Central (United Kingdom)

This paper reports an experience with the modeling, verification and concurrentimplementation of a medium-sized process control problem. The case study was proposed byForschungszentrum Informatik, Karlsruhe in 1993 in order to promote the usage of formalmethods in industry. It concerns an industrial robotics application that processes metal plates.A top-down design approach is followed where successive CCS and Promela specificationlevels of decreasing abstraction are considered, each layer little by little allows verification ofparts of the security requirements thus providing a mean for coping with state explosion. Thelevel refinements are checked with the Concurrency Workbench a CCS-based tool. Safety andliveness requirements are expressed in linear temporal logic and checked with SPIN. From theultimate specification, two different implementations are derived. The first one is inSynchronous C++, a concurrent extension of C++ and the second in Regis/Darwin. Thisapplication ...

Thierry Cattel

253

Multivariable controller design in an adaptive control scheme  

Digital Repository Infrastructure Vision for European Research (DRIVER)

A multivariable control system design approach in the frequency domain is presented. The issue of control system redesign in an adaptive control scheme is discussed. Expert system techniques have been used for the automated design of controllers for multivariable systems. Design knowledge has been r...

Pang, Grantham KH

254

PSO BASED DESIGN OF ROBUST CONTROLLER FOR TWO AREA LOAD FREQUENCY CONTROL WITH NONLINEARITIES  

Directory of Open Access Journals (Sweden)

Full Text Available This paper presents the performance of Fuzzy Proportional plus Derivative Controller, Fuzzy Proportional plus Integral Controller and Fuzzy Proportional plus Integral and Derivative Controllers onLoad frequency Problem. The system is employed with governor deadband, generation rate constraint with reheat turbine system. The Conventional PID controller doesn’t yield robustness under wide operating conditions for a system with nonlinearities. Hence to cover wide range of operating conditions, fuzzy logic controllers are proposed. It is necessary to properly tune the input and output parameters of the fuzzy logic controllers. A stochastic algorithm approach, Particle Swarm Optimization is used to tune the optimalparameters of fuzzy controllers. The efficacy of the controllers is analyzed and simulation study is presented considering 5% disturbance on a two area system with nonlinearities.

Dr.K.RamaSudha,; Dr.K.RamaSudha,; R.Vijaya Shanthi

2010-01-01

255

Modeling and control of a novel piezoelectric actuated precision fast positioning system  

International Nuclear Information System (INIS)

The need for a precision fast positioning technique is drawing significant attention from optical engineering, semiconductor industry, biotechnology, and nanotechnology, etc. This paper presents a novel piezoelectric (PZT) actuated precision fast positioning system (PFPS), which consists of a control module, PZT driving module, a precision fast positioning mechanism (PFPM), and a micro-displacement measure module. It controls the tilt and piston movements quickly and precisely. The driving, mechanism and measure integrative model of the PFPS has been built. The methods of digital proportional integral differential (PID) feedback control and self-tuning fuzzy PID control are studied. Simulation results prove that the proposed self-tuning fuzzy PID controller has good dynamic and static performances. A dynamic performance test system has been established. The experimental results confirm the validity of the design and the theoretical analysis of the PFPS

2008-01-01

256

Guidelines for control room design reviews  

International Nuclear Information System (INIS)

The control room design review is part of a broad program being undertaken by the nuclear industry and the government to ensure consideration of human factors in nuclear power plant design and operation. The purpose of the control room design review described by these guidelines is to (1) review and evaluate the control room workspace, instrumentation, controls, and other equipment from a human factors engineering point of view that takes into account both system demands and operator capabilities; and (2) to identify, assess, and implement control room design modifications that correct inadequate or unsuitable items. The scope of the control room design review described by these guidelines covers the human engineering review of completed control rooms; i.e., operational control rooms or those at that stage of the licensing process where control room design and equipment selection are committed. These guidelines should also be of use during the design process for new control rooms. However, additional analyses to optimize the allocation of functions to man and machine, and further examination of advanced control system technology, are recommended for new control rooms. Guidelines and references for comprehensive system analyses designed to incorporate human factors considerations into the design and development of new control rooms are presented in Appendix B. Where possible, a generic approach to the control room design review process is encouraged; for example, when control room designs are replicated wholly or in part in two or more units. Even when designs are not replicated exactly, generic reviews which can be modified to account for specific differences in particular control rooms should be considered. Industry organizations and owners groups are encouraged to coordinate joint efforts and share data to develop generic approaches to the design review process. The control room design review should accomplish the following specific objectives. To determine whether the control room provides the system status information, control capabilities, feedback, and analytic aids necessary for control room operators to accomplish their functions effectively. To identify characteristics of the existing control room instrumentation, controls, other equipment, and physical arrangements that may detract from operator performance. o analyze and evaluate the problems that could arise from discrepancies of the above kinds, and to analyze means of correcting those discrepancies which could lead to substantial problems. To define and put into effect a plan of action that applies human factors principles to improve control room design and enhance operator effectiveness. Particular emphasis should be placed on improvements affecting control room design and operator performance under abnormal or emergency conditions. To integrate the control room design review with other areas of human factors inquiry identified in the NRC Task Action Plan

1981-01-01

257

Control system design of the CERN/CMS tracker thermal screen  

CERN Multimedia

The Tracker is one of the CMS (Compact Muon Solenoid experiment) subdetectors to be installed at the LHC (Large Hadron Collider) accelerator, scheduled to start data taking in 2007 at CERN (European Organization for Nuclear Research). The tracker will be operated at a temperature of -10 degree C in order to reduce the radiation damage on the silicon detectors; hence, an insulated environment has to be provided by means of a screen that introduces a thermal separation between the Tracker and the neighboring detection systems. The control system design includes a formal description of the process by means of a thermodynamic model; then, the electrical equivalence is derived. The transfer function is inferred by the ratio of the voltage on the outer skin and the voltage input, i.e. the ratio of the temperature outside the tracker and the heat generated (which is the controlled variable). A PID (Proportional Integral Derivative) controller has been designed using MatLab. The results achieved so far prove that thi...

Carrone, E

2003-01-01

258

Study on computer-aided control system design platform of 10MW high temperature gas-cooled test reactor  

International Nuclear Information System (INIS)

the 10 MW high temperature gas-cooled test reactor (HTR-10) is the first modular pebble bed reactor built in China, which needs to be researched on engineering design, control study, safety analysis and operator training. An integrated system for simulation, control design and online assistance of the HTR-10 (HTRSIMU) has been developed by the Institute of Nuclear Energy Technology (INET) of Tsinghua University. The HTRSIMU system is based on a high-speed local area network, on which a computer-aided control system design platform (CDP) is developed and combined with the simulating subsystem in order to provide a visualized and convenient tool for the HTR-10 control system design. The CDP has friendly man-machine interface and good expansibility, in which eighteen types of control items are integrated. These control items are divided into two types: linear and non-linear control items. The linear control items include Proportion, Integral, Differential, Inertial, Leed-lag, Oscillation, Pure-lag, Common, PID and Fuzzy, while the non-linear control items include Saturation, Subsection, Insensitive, Backlash, Relay, Insensi-Relay, Sluggish-Relay and Insens-Slug. The CDP provides a visualized platform for control system modeling and the control loop system can be automatically generated and graphically simulated. Users can conveniently design control loop, modify control parameters, study control method, and analyze control results just by clicking mouse buttons. This kind of control system design method can provide a powerful tool and good reference for the actual system operation for HTR-10. A control scheme is also given and studied to demonstrate the functions of the CDP in this article. (author)

2004-01-01

259

Sistema híbrido neuro-evolutivo aplicado ao controle de um processo multivariável  

Directory of Open Access Journals (Sweden)

Full Text Available Este artigo apresenta uma nova abordagem para o projeto de um controlador PID (proporcional, integral e derivativo) multivariável baseado em uma rede neural e um algoritmo genético. O projeto do controlador PID multivariável é dividido em três etapas distintas. Na primeira etapa, uma rede neural de funções radiais de base é utilizada para identificação do processo multivariável. Na segunda etapa, o projeto do controlador é realizado, de forma off-line, baseado na sintonia de ganhos do controlador PID. Esta etapa é realizada através de uma otimização via algoritmos genéticos visando-se controlar o modelo do processo obtido pela rede neural de funções radiais de base. Na terceira etapa, os ganhos do controlador PID obtidos através de otimização genética e modelo neural são validados no processo prático. O desempenho desta proposta de projeto de controle multivariável é apresentado e discutido. O projeto do algoritmo de controle é validado de forma experimental em um processo multivariável denominado bola e chapa (ball-and-plate). Este processo consiste de uma chapa articulada em seu centro tal que a inclinação da chapa pode ser manipulada em duas direções perpendiculares. O objetivo básico é controlar a posição de uma bola que rola livremente sobre a chapa, aplicando-se tensões aos motores, estas baseadas no conhecimento da posição da bola medida pelo sistema de visão.This paper presents a new approach for the PID (proportional, integral, and derivative) multivariable controller design based on a neural network and a genetic algorithm. The multivariable PID controller design is divided in three steps. In the first step, a radial basis neural network is utilized for multivariable process identification. In the second step, the controller design is realized by an off-line procedure. This procedure is based on tuning of the PID controller gains by optimization with genetic algorithms aiming to control the model obtained by radial basis neural network. In the third step, the PID controller gains obtained with genetic optimization and neural model are validated in a practical process. Performance of this approach to multivariable control design is presented and discussed. The control algorithm design is validated of experimental way in a multivariable process called ball-and-plate. This process consists of a plate pivoted at its center such that the slope of the plate can be manipulated in two perpendicular directions. The basic control objective is to control the position of a free rolling ball on a plate, by applying tensions to two DC motors, according to the ball postion, as measured by vision system.

Leandro dos Santos Coelho; Viviana Cocco Mariani

2006-01-01

260

Intelligent process-control system design  

Digital Repository Infrastructure Vision for European Research (DRIVER)

The use of expert systems has vast potential in an intelligent process-control system. In this paper, the issue of process-control system design using a knowledge-based approach is discussed. Expert-system techniques have been used for the design of controllers for process-control systems. The exper...

Pang, GKH

 
 
 
 
261

Design of Controllers for Vector Controlled Induction Motor Drives  

Directory of Open Access Journals (Sweden)

Full Text Available The goal of this work is to design the speedand voltage controller for induction motor drives undervector control. The voltage controller is used when theinduction motor is fed by voltage regulated pulse widthmodulation PWM inverter. The design is made usingcomputer simulation. A systematic mathematicalformulation is presented for designing motorcontrollers.

?CHIOP Adrian

2010-01-01

262

Decomposed fuzzy proportional-integral-derivative controllers  

Digital Repository Infrastructure Vision for European Research (DRIVER)

In this paper, several types of decomposed proportional-integral-derivative fuzzy logic controllers (PID FLCs) are tested and compared. An important feature of decomposed PID FLCs are their simple structures. In its simplest version, the decomposed PID FLC uses three one-input one-output inferences ...

Golob, Marjan

263

Controller Design and Simulation of PMSM Drive  

Directory of Open Access Journals (Sweden)

Full Text Available The paper presents modeling, controller design and simulation of a PMSM drive. Hysteresis current controller is used for inner loop current control and PI controller for outer loop speed control. A simplified closed loop transfer function has been developed for the proposed drive and complete controller algorithm is given. The stability of the controller is studied for variations in the drive inertia and mechanical damping. The simulation results are shown for the verification of the controller algorithm.

Amar Nath Tiwari

2011-01-01

264

Control System Design Automation for Mechanical Systems  

Digital Repository Infrastructure Vision for European Research (DRIVER)

In this paper, a user-friendly and comprehensive control system design package called Control System Design Automation (CSDA) is described. The system consists of five main blocks: A requirement interpretation block, a modeling block, an analysis/design block, a database management and knowledge bas...

Maekawa, K; Pang, GKH

265

Design and control of MR haptic master/slave robot system for minimally invasive surgery  

Science.gov (United States)

In this work, magnetorheological (MR) haptic master and slave robot for minimally invasive surgery (MIS) have been designed and tested. The proposed haptic master consists of four actuators; three MR brakes featuring gimbal structure for 3-DOF rotation motion(X, Y and Z axes) and one MR linear actuator for 1-DOF translational motion. The proposed slave robot which is connected with the haptic master has vertically multi- joints, and it consists of four DC servomotors; three for positioning endoscope and one for spinning motion. We added a fixed bar with a ball joint on the base of the slave for the endoscope position at the patient's abdomen to maintain safety. A gimbal structure at the end of the slave robotic arm for the last joint rotates freely with respect to the pivot point of the fixed bar. This master-slave system runs as if a teleoperation system through TCP/IP connection, programmed by LabVIEW. In order to achieve the desired position trajectory, a proportional-integral-derivative (PID) controller is designed and implemented. It has been demonstrated that the effective tracking control performances for the desired motion are well achieved and presented in time domain. At last, an experiment in virtual environments is undertaken to investigate the effectiveness of the MR haptic master device for MIS system.

Uhm, Chang-Ho; Nguyen, Phoung Bac; Choi, Seung-Bok

2013-04-01

266

Twin-VCM Controller Design for the Nutator System with Evolutionary Algorithms  

Directory of Open Access Journals (Sweden)

Full Text Available We present an evolutionary algorithm to optimize controller parameters for a nonlinear nutator system which is implemented in twin voice coil motors (VCMs). In this paper, genetics-based algorithm is applied to tune the proportional-integral-derivative (PID) controller for the multi-input multi-output (MIMO) coupling system. The result has been validated that this algorithm can find out all six PID control parameters in optimal and robust senses. The controller architecture of the nutator system is constructed to meet the specifications of the coupled mirror and rocker parallel loops, both adopting PID control. Two main linear VCMs operating in a push-pull organization drive the nutator subreflector. The mandatory operation mode for the nutator system is two-position switching. The required technical specifications for the nutator control system are extremely precise requirements, system tracking control with a disturbance force more challenging than that in ordinary systems. Simulation results have demonstrated the superiority of the evolutionary algorithm, satisfying the Atacama large -millimeter/submillimeter array (ALMA) severe conditions and requirements.

Hsieh Sheng-Ping; Hwang Thong-Shing; Ni Chih-Wen

2009-01-01

267

Experimental demonstration of proportional-integral-derivative feedback in the closed-loop digital control of reactor neutronic power  

International Nuclear Information System (INIS)

This paper reports the design, implementation, and experimental evaluation of a proportional-integral-derivative (P-I-D) feedback methodology for the closed-loop, digital control of neutronic power in a nuclear reactor. The approach used is innovative in that each of the control actions that comprise the error signal is chosen so as to have the mathematical form of a reactor period. The resulting error signal is then implemented using the MIT-SNL Period-Generated Minimum Time Control Laws which incorporate a non-linear model of the reactor's dynamics. This feedback methodology was assessed and shown to be effective during the course of fifty-six experimental runs, all performed under conditions of closed-loop, digital control. In addition to describing this P-I-D methodology and the experimental results, a brief review is given of both the MIT-SNL laws and the theory of P-I-D control

1989-01-01

268

Optimal Control Design with Limited Model Information  

CERN Document Server

We introduce the family of limited model information control design methods, which construct controllers by accessing the plant's model in a constrained way, according to a given design graph. We investigate the achievable closed-loop performance of discrete-time linear time-invariant plants under a separable quadratic cost performance measure with structured static state-feedback controllers. We find the optimal control design strategy (in terms of the competitive ratio and domination metrics) when the control designer has access to the local model information and the global interconnection structure of the plant-to-be-controlled. At last, we study the trade-off between the amount of model information exploited by a control design method and the best closed-loop performance (in terms of the competitive ratio) of controllers it can produce.

Farokhi, F; Johansson, K H

2011-01-01

269

Intelligent controller of novel design  

Energy Technology Data Exchange (ETDEWEB)

This paper presents the authors attempt to combine the control engineering principle with human intelligence to form a new control algorithm. The hybrid system thus formed is both analogous and logical in actions and is called the intelligent controller (IC). With the help of cybernetics princple, the operator's intelligent action of control is programmed into the controller and the system is thus taught to act like an intelligent being within the prescribed range. Remarkable results were obtained from experiments conducted on an electronic model simulating the above mentioned system. Stability studies and system analysis are presented. 12 references.

Zhou Qi Jian; Bai Jian Kuo

1983-01-01

270

High performance controller for drying processes  

Directory of Open Access Journals (Sweden)

Full Text Available This paper proposes a high performance nonlinear fuzzy multi-input-multi-output controller for a drying control process. The highly nonlinear characteristics of drying processes make classical control theory unable to provide the same performance results as it does in more well behaved systems. Advanced control strategies may be used to design temperature, relative humidity and air velocity nonlinear tracking controllers to overcome its highly non-linear dynamics over the whole drying operating conditions. Open-loop experiments were carried out to collect experienced-based knowledge of the process. PID and Fuzzy logic (FLC) real-time-based controllers were designed to perform food drying tests and compared without controllers’ retuning. Absolute errors reached by FLC-based controller were 3.71 and 3.93 times lower than PID for temperature and relative humidity, respectively.  

Camila Nicola Boeri; Fernando Neto da Silva; Jorge Ferreira

2013-01-01

271

Control of longitudinal dynamics in the Reentry Phase of a Reusable Launch Vehicle  

Directory of Open Access Journals (Sweden)

Full Text Available This paper presents the control of the longitudinal dynamics of a reusable launch vehicle in its re-entry phase. The control of longitudinal dynamics mainly consists of the pitch angle control. Here the pitch is controlled using an Linear Quadratic Regulator controller. The feedback LQR controller is compared with a classical PID controller. The launch vehicle model is controlled using the designed LQR controll

PROF.LAILA BEEBI M; VISHAKH K H; NAVEEN N

2013-01-01

272

Concept for Future Data Services at the Long-Term Archive of WDCC combining DOIs with common PIDs  

Science.gov (United States)

The World Data Center for Climate (WDCC) hosted at the German Climate Computing Center (DKRZ) maintains a long-term archive (LTA) of climate model data as well as observational data. WDCC distinguishes between two types of LTA data: Structured data: Data output of an instrument or of a climate model run consists of numerous, highly structured individual datasets in a uniform format. Part of these data is also published on an ESGF (Earth System Grid Federation) data node. Detailed metadata is available allowing for fine-grained user-defined data access. Unstructured data: LTA data of finished scientific projects are in general unstructured and consist of datasets of different formats, different sizes, and different contents. For these data compact metadata is available as content information. The structured data is suitable for WDCC's DataCite DOI process, the project data only in exceptional cases. The DOI process includes a thorough quality control process of technical as well as scientific aspects by the publication agent and the data creator. DOIs are assigned to data collections appropriate to be cited in scientific publications, like a simulation run. The data collection is defined in agreement with the data creator. At the moment there is no possibility to identify and cite individual datasets within this DOI data collection analogous to the citation of chapters in a book. Also missing is a compact citation regulation for a user-specified collection of data. WDCC therefore complements its existing LTA/DOI concept by Persistent Identifier (PID) assignment to datasets using Handles. In addition to data identification for internal and external use, the concept of PIDs allows to define relations among PIDs. Such structural information is stored as key-value pair directly in the handles. Thus, relations provide basic provenance or lineage information, even if part of the data like intermediate results are lost. WDCC intends to use additional PIDs on metadata entities with a relation to the data PID(s). These add background information on the data creation process (e.g. descriptions of experiment, model, model set-up, and platform for the model run etc.) to the data. These pieces of additional information increase the re-usability of the archived model data, significantly. Other valuable additional information for scientific collaboration could be added by the same mechanism, like quality information and annotations. Apart from relations among data and metadata entities, PIDs on collections are advantageous for model data: Collections allow for persistent references to single datasets or subsets of data assigned a DOI, Data objects and additional information objects can be consistently connected via relations (provenance, creation, quality information for data),

Stockhause, Martina; Weigel, Tobias; Toussaint, Frank; Höck, Heinke; Thiemann, Hannes; Lautenschlager, Michael

2013-04-01

273

Design and Implementation of Fuzzy Logic Controllers.  

Science.gov (United States)

The main objectives of our research are to present a self-contained overview of fuzzy sets and fuzzy logic, develop a methodology for control system design using fuzzy logic controllers, and to design and implement a fuzzy logic controller for a real syst...

O. A. Abihana O. R. Gonzalez

1993-01-01

274

Control room and ergonomic design  

International Nuclear Information System (INIS)

The important basis for the configuration of the control room of a nuclear power station is the concept for controlling a fault and that for controlling normal operation. The tasks resulting from this for the control room personnel are decided by the control room concept. In this configuration process (from the division of process control tasks between the system components operators and control technology to the configuration of individual means of operation) the characteristics and capabilities of the personnel, which are subject to special requirements as regards their qualifications, are observed. New concepts which are only now technically feasible are therefore being developed for information processing and display, in order to give the personnel a better oversight of the state and trends of the plant. (orig./DG).

1984-01-01

275

Um método evolucionário para sintonia de controladores PI/PID em processos multivariáveis  

Directory of Open Access Journals (Sweden)

Full Text Available Em instalações industriais, é comum a existência de processos multivariáveis que possuem variáveis com fortes interações entre si, além de não linearidades e de objetivos de controle conflitantes Assim, a sintonia de diversos controladores em plantas industriais complexas constitui um desafio aos engenheiros de processo e operadores. Este artigo aborda o problema de sintonizar n controladores PI/PID (Proporcional, Integral e Derivativo) em processos multivariáveis como um problema de otimização multiobjetivo. Um algoritmo genético multiobjetivo, modificado por uma técnica de nicho e formação de castas, é proposto para resolver o problema. A otimização é realizada em dois níveis. No primeiro, uma função local que agrupa os critérios ITSE (Integral Time Squared Error) e variância mínima é calculada para avaliar separadamente o desempenho de cada malha. Em seguida, uma função de custo global, considerando todas as malhas é usada para calcular um conjunto de soluções (conjunto de parâmetros do controlador PI/PID) para o problema de otimização. A metodologia foi aplicada no controle PI de uma unidade de craqueamento catalítico e o seu desempenho foi comparado ao de um controlador preditivo por matriz dinâmica. Os resultados mostram a aplicabilidade e eficiência da metodologia proposta.Nonlinear multiple-input multiple-output (MIMO) processes which are common in industrial plants are characterized by significant interactions and nonlinearities among their variables. Thus, the tuning of several controllers in complex industrial plants is a challenge for process engineers and operators. This paper addresses the problem of simultaneously tuning n proportional-integral-derivative (PI/PID) controllers in a coupled multivariable process as a multi-criteria optimization problem. A multi objective genetic algorithm modified by a niching technique with castes formation is proposed to solve this problem. The optimization is carried out in two levels. In the first level a local function that considers both the integral time squared error (ITSE) and the minimum variance criteria is computed to separately evaluate the performance of each closed loop. Thereafter, a global cost function that considers all the loops is used to compute a set of solutions (a set of PI/PID parameters) to the optimization problem. The proposed system was applied to the control of a fluid catalytic cracking (FCC) unit, and its performance was compared to dynamic matrix control (DMC). The results show the applicability and effectiveness of the proposed method.

Lúcia Valéria R. de Arruda; Maria Cristina Szpak Swiech; Flávio Neves-Jr; Myriam Regattieri Delgado

2008-01-01

276

Um método evolucionário para sintonia de controladores PI/PID em processos multivariáveis  

Scientific Electronic Library Online (English)

Full Text Available Abstract in portuguese Em instalações industriais, é comum a existência de processos multivariáveis que possuem variáveis com fortes interações entre si, além de não linearidades e de objetivos de controle conflitantes Assim, a sintonia de diversos controladores em plantas industriais complexas constitui um desafio aos engenheiros de processo e operadores. Este artigo aborda o problema de sintonizar n controladores PI/PID (Proporcional, Integral e Derivativo) em processos multivariáv (more) eis como um problema de otimização multiobjetivo. Um algoritmo genético multiobjetivo, modificado por uma técnica de nicho e formação de castas, é proposto para resolver o problema. A otimização é realizada em dois níveis. No primeiro, uma função local que agrupa os critérios ITSE (Integral Time Squared Error) e variância mínima é calculada para avaliar separadamente o desempenho de cada malha. Em seguida, uma função de custo global, considerando todas as malhas é usada para calcular um conjunto de soluções (conjunto de parâmetros do controlador PI/PID) para o problema de otimização. A metodologia foi aplicada no controle PI de uma unidade de craqueamento catalítico e o seu desempenho foi comparado ao de um controlador preditivo por matriz dinâmica. Os resultados mostram a aplicabilidade e eficiência da metodologia proposta. Abstract in english Nonlinear multiple-input multiple-output (MIMO) processes which are common in industrial plants are characterized by significant interactions and nonlinearities among their variables. Thus, the tuning of several controllers in complex industrial plants is a challenge for process engineers and operators. This paper addresses the problem of simultaneously tuning n proportional-integral-derivative (PI/PID) controllers in a coupled multivariable process as a multi-criteria op (more) timization problem. A multi objective genetic algorithm modified by a niching technique with castes formation is proposed to solve this problem. The optimization is carried out in two levels. In the first level a local function that considers both the integral time squared error (ITSE) and the minimum variance criteria is computed to separately evaluate the performance of each closed loop. Thereafter, a global cost function that considers all the loops is used to compute a set of solutions (a set of PI/PID parameters) to the optimization problem. The proposed system was applied to the control of a fluid catalytic cracking (FCC) unit, and its performance was compared to dynamic matrix control (DMC). The results show the applicability and effectiveness of the proposed method.

Arruda, Lúcia Valéria R. de; Swiech, Maria Cristina Szpak; Neves-Jr, Flávio; Delgado, Myriam Regattieri

2008-03-01

277

Control Structure Impact on the Flying Performance of the Multi-Rotor VTOL Platform - Design, Analysis and Experimental Validation  

Digital Repository Infrastructure Vision for European Research (DRIVER)

The aim of this research is to examine the different control strategies for the unmanned aerial vehicles (UAV). The control task is formulated as an angular stabilization of the four rotor platform, and also as a tracking problem of chosen state variables. The PID algorithm has been considered in th...

Roman Czyba; Grzegorz Szafranski

278

FUZZY FRACTIONAL ORDER SLIDING MODE CONTROLLER FOR DC MOTOR  

Directory of Open Access Journals (Sweden)

Full Text Available This paper gives fractional surface Sliding Mode Control for DC Motor. The fractional PID controller relaying on the sliding-mode theory is used to improve the dynamical characteristics of the drive system. Sliding mode control method is studied for controlling DC motor because of its robustness against model uncertainties and external disturbances. A little chattering phenomenon & fast reaching velocity into the switching hyper plane in the hitting phase is desired in a Sliding Mode Control. To reduce the chattering phenomenon in Sliding Mode Control (SMC) a Fuzzy Logic Controller (FLC) is used to replace discontinuity in the Signum function. For this purpose, we have used a Fractional PID outer loop in the control law then the gains of the sliding term and Fractional PID term are tuned on-line by a fuzzy system, so the chattering is avoided and response of the system is improved here. Initially a sliding PID surface is designed and then, a fractional form of this network PI?Dµ is proposed. Then the performance of the controlled system for DC Motor is investigated. The simulation results signify performance of Fuzzy Fractional Order Sliding Mode Controller. Presented implementation results on a DC motor confirm the above claims and demonstrate the performance improvement in this case.

Yogita A. Ajmera; Subhash. S. Sankeshwari

2013-01-01

279

Design of a Flexible Hardware Interface for Multiple Remote Electronic practical Experiments of Virtual Laboratory  

Digital Repository Infrastructure Vision for European Research (DRIVER)

The objective of this work is to present a new design of a Flexible Hardware Interface (FHI) based on PID control techniques to use in a virtual laboratory. This flexible hardware interface allows the easy implementation of different and multiple remote electronic practical experiments for undergrad...

Farah Said; Benachenhou Abdelhalim; Neveux Guillaume; Barataud Denis

280

Steam-Hydraulic Turbines Load Frequency Controller Based on Fuzzy Logic Control  

Directory of Open Access Journals (Sweden)

Full Text Available This study investigates an application of the fuzzy logic technique for designing the load-frequency control system to damp the frequency and tie line power oscillations due to different load disturbances under the governor deadzones and GRC non-linearity. Integral controller are designed and compared with the proposed fuzzy logic controller. To validate the effectiveness of the proposed controller, two-area load frequency power system is simulated over a wide range of operating conditions and system parameter changes. Further, comparative studies between the conventional PID control and proposed efficient fuzzy logic load frequency control are included on the simulation results. Programs Matlab software are developed for simulation. The digital results prove the power of the present fuzzy load-frequency controller over the conventional. PID controller in terms of fast response with less overshoot and small settling time.

Ali M. Yousef; Jabril A.Khamaj; Ahmad Said Oshaba

2012-01-01

 
 
 
 
281

Dynamic optimization and adaptive controller design  

Science.gov (United States)

In this work I present a new type of controller which is an adaptive tracking controller which employs dynamic optimization for optimizing current value of controller action for the temperature control of nonisothermal continuously stirred tank reactor (CSTR). We begin with a two-state model of nonisothermal CSTR which are mass and heat balance equations and then add cooling system dynamics to eliminate input multiplicity. The initial design value is obtained using local stability of steady states where approach temperature for cooling action is specified as a steady state and a design specification. Later we make a correction in the dynamics where material balance is manipulated to use feed concentration as a system parameter as an adaptive control measure in order to avoid actuator saturation for the main control loop. The analysis leading to design of dynamic optimization based parameter adaptive controller is presented. The important component of this mathematical framework is reference trajectory generation to form an adaptive control measure.

Inamdar, S. R.

2010-10-01

282

Formal Design of Hybrid Control Systems: Duration . . .  

UK PubMed Central (United Kingdom)

In this paper, we present an approach to the design of hybrid systems by combination of several comprehensive formalization techniques. We use Duration Calculus to specify the requirement and design of the system and to model controller at abstract level of system development. Then the high level designs are further refined in control theory. A formal verification may be done either in DC if it is possible, or in predicate calculus using the semantics of DC or theorems from control theory. We show our techniques through a double water tank case study which is one of the bench mark problem for modern process control engineering.

283

Treatment Seeking Pathway of PID (Pelvic Inflammatory Disease) Patients Attending Government Hospital Vadodara, India  

Directory of Open Access Journals (Sweden)

Full Text Available Context: PID is a fairly common problem among woman and usually reflects long and often neglected story of reproductive morbidity. Aims: To study the social dimensions of health seeking behavior of PID patients reporting to Shree Sayaji General Hospital (SSGH), from the beginning of their morbidity till they reached the clinic; vocabulary used in describing the morbidity and social support available during their morbidity. Study Settings: SSGH Vadodara, a tertiary care referral hospital in the city. Study Design: In depth interview with multiple contacts Methods and Material: 120 patients of PID who came to SSGH were enrolled in the study. In depth interview technique was used for data collection and up to 3 sessions were conducted with them after taking their consent. Results: The treatment seeking pathway showed an average of three health care contacts before a patient reached SSGH. On an average, rural patients took more than 5 years while urban patients took 2 ½ years to reach SSGH with multiple contacts with other care givers prior to reaching SSGH. The most common presenting complaints were white discharge, pain in lower abdomen and backache. In 18% of patients decision for seeking treatment in SSGH was taken by the husband and in 39% of cases it was taken by patient and in 38% of cases it was taken jointly. Conclusions: The common pattern for health seeking behaviour emerged as multiple contacts and substantial delay before a patient reached tertiary care unit hospital and rural patients took longer time to reach as compared with urban patients.

Kotecha P V, Patel S V, Baxi R K, Shah S, Mehta K G, Diwanji M

2011-01-01

284

Resilient Control Systems: Next Generation Design Research  

Energy Technology Data Exchange (ETDEWEB)

Since digital control systems were introduced to the market more than 30 years ago, the operational efficiency and stability gained through their use have fueled our migration and ultimate dependence on them for the monitoring and control of critical infrastructure. While these systems have been designed for functionality and reliability, a hostile cyber environment and uncertainties in complex networks and human interactions have placed additional parameters on the design expectations for control systems.

Craig Rieger

2009-05-01

285

The control system of an autonomous underwater vehicle  

Energy Technology Data Exchange (ETDEWEB)

This paper presents the flight control system of an Autonomous Underwater Vehicle (AUV) developed at the Norwegian Defence Research Establishment. A mathematical model of the vehicle is derived and discussed. The system is separated into lightly interacting subsystems and three autopilots are designed for steering, diving and speed control. The design of the separate controllers is based on PID techniques. Results from sea trials show robust performance and stability for the autopilot. 9 refs., 6 figs.

Jalving, B.; Stoerkersen, N. [Norwegian Defence Research Establishment, Kjeller (Norway)

1995-11-01

286

The control system of an autonomous underwater vehicle  

Directory of Open Access Journals (Sweden)

Full Text Available This paper presents the flight control system of an Autonomous Underwater Vehicle (AUV) developed at the Norwegian Defence Research Establishment. A mathematical model of the vehicle is derived and discussed. The system is separated into lightly interacting subsystems and three autopilots are designed for steering, diving and speed control. The design of the separate controllers is based on PID techniques. Results from sea trials show robust performance and stability for the autopilot.

Bjørn Jalving; Nils Størkersen

1995-01-01

287

Robust LQR Control Design of Gyroscope  

Directory of Open Access Journals (Sweden)

Full Text Available The basic problem in designing control systems isthe ability to achieve good performance inthepresenceofuncertainties such as outputdisturbances, measurement noise or unmodeleddynamics (i.e. robust controllers). Recentdevelopment in the area has been directed towardsdeveloping a consistent design methodology withinthis uncertain environment. The attitude control/momentum management of the space station posesatypical problem in ahighlyuncertain environment(such asmass properties of the Space Station andenvironmental disturbancesas well as parametricuncertainties). The objective of this research is touse LQR control for the position control of spin axisrotor position at reference value in the presence ofparametric uncertainties, external unmeasurabledisturbances and system inherent non-linearitywithdifferenttype’sreference tracking signal areconsidered extensively in this paper.

Ashok S. Chandak; Anil J. Patil

2013-01-01

288

Hydraulically powered dissimilar teleoperated system controller design  

Energy Technology Data Exchange (ETDEWEB)

This paper will address two issues associated with the implementation of a hydraulically powered dissimilar master-slave teleoperated system. These issues are the overall system control architecture and the design of robust hydraulic servo controllers for the position control problem. Finally, a discussion of overall system performance on an actual teleoperated system will be presented.

Jansen, J.F.; Kress, R.L.

1996-04-01

289

A MODEL AND CONTROLLER REDUCTION METHOD FOR ROBUST CONTROL DESIGN.  

Energy Technology Data Exchange (ETDEWEB)

A bifurcation subsystem based model and controller reduction approach is presented. Using this approach a robust {micro}-synthesis SVC control is designed for interarea oscillation and voltage control based on a small reduced order bifurcation subsystem model of the full system. The control synthesis problem is posed by structured uncertainty modeling and control configuration formulation using the bifurcation subsystem knowledge of the nature of the interarea oscillation caused by a specific uncertainty parameter. Bifurcation subsystem method plays a key role in this paper because it provides (1) a bifurcation parameter for uncertainty modeling; (2) a criterion to reduce the order of the resulting MSVC control; and (3) a low order model for a bifurcation subsystem based SVC (BMSVC) design. The use of the model of the bifurcation subsystem to produce a low order controller simplifies the control design and reduces the computation efforts so significantly that the robust {micro}-synthesis control can be applied to large system where the computation makes robust control design impractical. The RGA analysis and time simulation show that the reduced BMSVC control design captures the center manifold dynamics and uncertainty structure of the full system model and is capable of stabilizing the full system and achieving satisfactory control performance.

YUE,M.; SCHLUETER,R.

2003-10-20

290

Fractional adaptive control for an automatic voltage regulator.  

UK PubMed Central (United Kingdom)

This paper presents the application of a direct Fractional Order Model Reference Adaptive Controller (FOMRAC) to an Automatic Voltage Regulator (AVR). A direct FOMRAC is a direct Model Reference Adaptive Control (MRAC), whose controller parameters are adjusted using fractional order differential equations. Four realizations of the FOMRAC were designed in this work, each one considering different orders for the plant model. The design procedure consisted of determining the optimal values of the fractional order and the adaptive gains for each adaptive law, using Genetic algorithm optimization. Comparisons were made among the four FOMRAC designs, a fractional order PID (FOPID), a classical PID, and four Integer Order Model Reference Adaptive Controllers (IOMRAC), showing that the FOMRAC can improve the controlled system behavior and its robustness with respect to model uncertainties. Finally, some performance indices are presented here for the controlled schemes, in order to show the advantages and disadvantages of the FOMRAC.

Aguila-Camacho N; Duarte-Mermoud MA

2013-07-01

291

Fuzzy logic control to be conventional method  

International Nuclear Information System (INIS)

Increasing demands for flexibility and fast reactions in modern process operation and production methods result in nonlinear system behaviour of partly unknown systems, and this necessitates application of alternative control methods to meet the demands. Fuzzy logic (FL) control can play an important role because knowledge based design rules can easily be implemented in systems with unknown structure, and it is going to be a conventional control method since the control design strategy is simple and practical and is based on linguistic information. Computational complexity is not a limitation any more because the computing power of computers has been significantly improved even for high speed industrial applications. This makes FL control an important alternative method to the conventional PID control method for use in nonlinear industrial systems. This paper presents a practical implementation of the FL control to an electrical drive system. Such drive systems used in industry are composed of masses moving under the action of position and velocity dependent forces. These forces exhibit nonlinear behaviour. For a multi-mass drive system, the nonlinearities, like Coulomb friction and dead zone, significantly influence the operation of the systems. The proposed FL control configuration is based on speed error and change of speed error. The feasibility and effectiveness of the control method are experimentally demonstrated. The results obtained from conventional FL control, fuzzy PID and adaptive FL control are compared with traditional PID control for the dynamic responses of the closed loop drive system

2006-01-01

292

Moving mass trim control system design  

Energy Technology Data Exchange (ETDEWEB)

This paper describes the design of a moving mass trim control system for maneuvering axisymmetric reentry vehicles. The moving mass trim controller is composed of three equal masses that are independently positioned in order to deliver a desired center of mass position. For a slowly spinning reentry vehicle, the mass offset creates a trim angle-of-attack to generate modest flight path corrections. The control system must maintain the desired position of each mass in the face of large disturbances. A novel algorithm for determining the desired mass positions is developed in conjunction with a preliminary controller design. The controller design is based on classical frequency domain techniques where a bound on the disturbance magnitude is used to formulate the disturbance rejection problem. Simulation results for the controller are presented for a typical reentry vehicle.

Byrne, R.H.; Robinett, R.D.; Sturgis, B.R.

1996-03-01

293

A Comparative Analysis of Controllers Controlling Uncertainty in the Form of 2nd Order Load, Affecting the Robust Position Control of DC Motor  

Directory of Open Access Journals (Sweden)

Full Text Available All the industrial process applications requirerobust position control of DC motor. The aim of this paper is todesign a robust position control of DC motor by selectingdifferent controllers like P, PI, PID and their tuning methods.The model of a DC motor is considered as a third order systemwith incorporating uncertainty. This paper compares thedifferent kinds of tuning methods of parameter for PIDcontroller. One is the controller design by Zeigler and Nicholsmethod, second is the auto tuning of the controller in basicdesign mode and third is in the extended design mode. It wasfound that the proposed PID parameters adjustment in the basicand extended design mode is far better than the P, PI and Zeiglerand Nichols method. The proposed method could be applied tothe higher order system also.

Er. Farhad Aslam; Birendra Kumar Yadav; Ram Sharan Choudhary; Gopal Kumar Choudhary

2013-01-01

294

Photonic MEMS devices design, fabrication and control  

CERN Multimedia

Covers various aspects of engineering innovation, design, modeling, fabrication, control, and experimental implementation of photonic MEMS devices. This text describes different photonic MEMS systems including devices with both component- and system-level photonic integration.

Liu, Ai-Qun

2008-01-01

295

Controller reconfiguration based on LTR design  

DEFF Research Database (Denmark)

Design of controller reconfiguration (CR) for systems with sensor faults are considered in this paper. One way to accommodate a failing sensor, is by replacing it by an observer based on the remaining outputs. A similar approach can be applied for a faulty actuator by duality. By including observers in the loop to replace faulty components, the nominal feedback controller does not need to be redesigned. The CR observer design problem for the faulty sensors or actuators can be rewritten into a standard loop transfer recovery (LTR) design problem, to which standard LTR design methods can be applied. Finally, it is shown that this CR architecture, where an CR observer is included in the feedback loop in between the system and the nominal controller, can be transformed into a more general fault tolerant controller (FTC) architecture based on the Youla parameterization.

Niemann, Hans Henrik; Stoustrup, J.

2003-01-01

296

Controller Reconfiguration based on LTR Design  

DEFF Research Database (Denmark)

Design of Controller Reconfiguration (CR) for systems with sensor faults are considered in this paper. One way to accommodate a failing sensor, is by replacing it by an observer based on the remaining outputs. A similar approach can be applied for a faulty actuator by duality. By including observers in the loop to replace faulty components, the nominal feedback controller does not need to be redesigned. The CR observer design problem for the faulty sensors or actuators can be rewritten into a standard Loop Transfer Recovery (LTR) design problem, to which standard LTR design methods can be applied. Finally, it is shown that this CR architecture, where an CR observer is included in the feedback loop in between the system and the nominal controller, can be transformed into a more general fault tolerant Controller (FTC) architecture based on the Youla parameterization.

Niemann, H.H.; Stoustrup, Jakob

2003-01-01

297

New trends in designing NPP control boards  

International Nuclear Information System (INIS)

[en] A short analytical summary of the latest developments and future trends in designing NPP control boards is given. The designs of the Westinghause and the Hynkley-Point NPP control boards are described in detail. The essence of the advanced control board concept consists , firstly, in expanded use of computer-controlled displays for the sake of reducing the content of unimportant information presented to an operator, and, secondary, in better account of human possibilities to convert the NPP operation information into a more suitable form. An enlarged use of the direct digital reactor control utilizing microprocessors is expected. Besides, the employment of full-scale control board mock-ups and information desks as well as testing newly-developed control boards at computer reactor simulators are concluded to be used at all-growing rate

1981-01-01

298

A Self-Tuning Proportional-Integral-Derivative Controller for an Autonomous Underwater Vehicle, Based On Taguchi Method  

Digital Repository Infrastructure Vision for European Research (DRIVER)

Problem statement: Conventional Proportional-Integral-Derivative (PID) controllers exhibit moderately good performance once the PID gains are properly tuned. However, when the dynamic characteristics of the system are time dependent or the operating conditions of the system var...

M, Santhakumar; T. Asokan

299

Design control requirements for medical device development.  

UK PubMed Central (United Kingdom)

Medical devices used in the United States must comply with federal regulations established to ensure that specified requirements have been met. The article will focus on 1 of 14 elements of the Quality System Regulation (QSR)-Design Controls. A high-level overview of these design control requirements is provided to increase awareness of the device development process and provide a basis for mutual understanding for continued dialogue with end users. Design control requirements were established by the US Food and Drug Administration (FDA) as an element of the QSR in 1996. Device manufacturers are required to have a quality management system (QMS) to ensure their devices are safe and effective. The QMS is established by writing operating procedures to achieve consistent application of the methods used to control quality and comply with regulatory requirements. The FDA has the responsibility to audit device manufacturers for compliance with the regulation. The requirements of the QSR and the resulting device design control procedures lend themselves to what is commonly known as the waterfall development process. This iterative process results in documented evidence that is defined in the QSR as the Design History File. This record of development is essential for managing the product life cycle. The elements and purpose of the design control process will be presented to illuminate today's development environment. Conclusion: Collaboration between device developers and the practitioner is essential for improving clinical outcomes and reducing time to market of innovative devices.

Kinsel D

2012-01-01

300

Design control requirements for medical device development.  

Science.gov (United States)

Medical devices used in the United States must comply with federal regulations established to ensure that specified requirements have been met. The article will focus on 1 of 14 elements of the Quality System Regulation (QSR)-Design Controls. A high-level overview of these design control requirements is provided to increase awareness of the device development process and provide a basis for mutual understanding for continued dialogue with end users. Design control requirements were established by the US Food and Drug Administration (FDA) as an element of the QSR in 1996. Device manufacturers are required to have a quality management system (QMS) to ensure their devices are safe and effective. The QMS is established by writing operating procedures to achieve consistent application of the methods used to control quality and comply with regulatory requirements. The FDA has the responsibility to audit device manufacturers for compliance with the regulation. The requirements of the QSR and the resulting device design control procedures lend themselves to what is commonly known as the waterfall development process. This iterative process results in documented evidence that is defined in the QSR as the Design History File. This record of development is essential for managing the product life cycle. The elements and purpose of the design control process will be presented to illuminate today's development environment. Conclusion: Collaboration between device developers and the practitioner is essential for improving clinical outcomes and reducing time to market of innovative devices. PMID:23804688

Kinsel, David

2012-01-01

 
 
 
 
301

Control Difuso de Flujo de Fluidos en una Estación de Laboratorio Fluid Flow Fuzzy Control of a Laboratory Station  

Directory of Open Access Journals (Sweden)

Full Text Available Se diseñó un controlador de lógica difusa (CLD) para regular el flujo de fluidos en una estación de laboratorio. Para medir el desempeño del CLD se ejecutaron diferentes tipos de pruebas, comparando sus resultados con los obtenidos utilizando un PID convencional. El controlador de lógica difusa obtuvo mejores resultados en la respuesta al escalón, lo que implica que este puede utilizarse en el arranque de plantas. Para perturbaciones tipo escalón, pero inversa, el PID no es capaz de seguir la referencia, debido a la no-linealidad del proceso mientras que el CLD presenta buenos resultados. Para perturbaciones tipo rampa, el PID presenta un mejor seguimiento a las rampas que el CLD, ya que su comportamiento es lineal. Con respecto a los métodos de inferencia difusa no se observó una diferencia significativa. Se concluye que no existe una gran diferencia en utilizar cualquiera de los métodos de inferencia, sobre todo si el punto de referencia tiene segmentos constantesA fuzzy controller was designed (CLD) to regulate the fluid flow in laboratory station. In order to measure the performance of the CLD, different types of tests were applied and their results were compared with the results using a conventional PID. The fuzzy controller obtained better results in response to stepping, from which we concluded that this could be used in plant startups. For inverse step-type disturbances, the PID is not able to follow the reference, due to the non-linearity of the process, while the CLD produced good results. For ramp type disturbances, the PID showed better tracking of the ramps than the CLD, since its behavior is linear. A significant difference was not observed when using the fuzzy inference method. It is concluded that there is no major difference in the use of these inference methods, especially if the reference point has constant segments

A.J. Castro-Montoya; F Vera-Monterrosas; J.A. Quintana-Silva

2004-01-01

302

Design basis reconstitution for an effective design control program  

Energy Technology Data Exchange (ETDEWEB)

Configuration management is a new buzz word in the nuclear power industry. Whatever its definition, everyone agrees that the configuration of a nuclear power plant must be managed effectively. In layman's terms, configuration management means that a plant must be built, operated, and maintained in a manner consistent with its design basis. Thus, control of the design basis is the most important element in any configuration management program. Until recently, the US Nuclear Regulatory Commission's (NRC's) review of design basis focused on the plants that were about to get operating licenses. However, incidents at a few operating nuclear plants and NRC inspections (Safety System Functional Inspection and Safety System Outage Modification Inspection) have indicated weaknesses in older operating plant design basis documentation and design change control programs. Thus, reconstitution of plant design basis has become an important issue. This paper presents the major element of a design basis reconstitution program, which can be an immense undertaking for some of the older operating plants.

Banerjee, A.K.

1987-01-01

303

Design of Controller in Electric Bicycle  

Digital Repository Infrastructure Vision for European Research (DRIVER)

Base on PIC16F72, a design of brushless DC motor controller strategy applied to the electric bicycle control system was presented in the paper. Through analyzed some possible problems when electric bicycle running daily. Function of over-current protection, under-voltage protection and helping were ...

Zhidong Zhang; Jingfeng Shen; Baohui Li

304

Interactive tools for industrial process control  

International Nuclear Information System (INIS)

This paper presents the development and the implementation of an interactive proportional-integral-derivative (PID) autotuner for monovariable control-loops at the Quebec Cartier Mining pellet plant (QCM). The autotuning tool presented in this paper is different to other commercial PID autotuners as it has an open architecture. The user can access the results of all operations performed by the autotuner: the excitation of the system, the signal processing, the identification of the model and the calculation of the controller parameters. QCM has started a project that aims at the general improvement of process control. The autotuner is the first of a series of tools that will be developed to address problems such as on-line performance analysis of control-loops, fault detection, isolation and diagnostic, observers and multivariable control. Along with the development of these tools, training courses are given to the personnel concerned with automatic control, system design, process operation and maintenance. (author)

1999-01-01

305

Controlled air incinerator conceptual design study  

Energy Technology Data Exchange (ETDEWEB)

This report presents a conceptual design study for a controlled air incinerator facility for incineration of low level combustible waste at Three Mile Island Unit 2 (TMI-2). The facility design is based on the use of a Helix Process Systems controlled air incinerator. Cost estimates and associated engineering, procurement, and construction schedules are also provided. The cost estimates and schedules are presented for two incinerator facility designs, one with provisions for waste ash solidification, the other with provisions for packaging the waste ash for transport to an undefined location.

1982-01-01

306

Robust RST Controller Design by Convex Optimization  

Directory of Open Access Journals (Sweden)

Full Text Available A convex optimization-based robust RST controller design approach is proposed in this paper. It is shown that the system specifications given as the Nyquist robust stability criteria, absorption of effects for different types of external disturbances and the pole placement problem for LTI systems can be transformed into convex constraints. The controller design problem is then reduced to solving the standard quadraticallyconstrained convex program. The analysis also illustrates the potential limitations of the method through inherent tradeoff between robustness stability and performance specifications. The design procedure is illustrated on a practical industrial problem, showing that the proposed method can provide very robust solutions with good performance.

Milan S. Matijevi?; Ranko Sredojevi?; Vladimir M. Stojanovi?

2011-01-01

307

Humanoid robot Lola: design and walking control.  

Science.gov (United States)

In this paper we present the humanoid robot LOLA, its mechatronic hardware design, simulation and real-time walking control. The goal of the LOLA-project is to build a machine capable of stable, autonomous, fast and human-like walking. LOLA is characterized by a redundant kinematic configuration with 7-DoF legs, an extremely lightweight design, joint actuators with brushless motors and an electronics architecture using decentralized joint control. Special emphasis was put on an improved mass distribution of the legs to achieve good dynamic performance. Trajectory generation and control aim at faster, more flexible and robust walking. Center of mass trajectories are calculated in real-time from footstep locations using quadratic programming and spline collocation methods. Stabilizing control uses hybrid position/force control in task space with an inner joint position control loop. Inertial stabilization is achieved by modifying the contact force trajectories. PMID:19665558

Buschmann, Thomas; Lohmeier, Sebastian; Ulbrich, Heinz

2009-08-07

308

PLANTWIDE CONTROL OF ACETYLENE HYDROGENATION PROCESS  

Directory of Open Access Journals (Sweden)

Full Text Available As an application of Plantwide control, where few papers have been published about the integrated process design and control of complete plants, the acetylene hydrogenation process has been considered as the goal of this research. Firstly, all plant units were controlled separately using PID controllers, then, complete plant control was based on the 15 steps of Luyben’s plantwide control strategy. An acceptable overall plant control behavior was achieved in terms of settling times and overshoot. An improvement was also, noticed on the plantwide control application when cascaded controllers are used for the developed control system. The improvement was clearly on the temperature control.

SALAM K. AL-DAWERY; HAIDER M. DAKHIL

2012-01-01

309

How to design for well control events  

Energy Technology Data Exchange (ETDEWEB)

Recent well control emphasis has been primarily on regulatory issues, but improved numerical modeling and equipment design is shifting the focus back to wellbore physics and fluid behavior. Understanding equipment response and kick development allows site-specific planning to delineate procedures, equipment, monitoring needs and personnel responsibilities. Planning methods are accepted practice, but are not usually applied to well control. The well control planning approaches in this article are specific, yet universally applicable across operating environments, technical levels and economic constraints, allowing planners to address uncertainties and select the best well designs. Rig personnel benefit from focused, practical training, computer software and application, procedures, documents and data systems.

Leach, C.P. [Well Control and Systems Design, Houston, TX (United States); Quentin, K.M.

1995-06-01

310

Robust Structured Control Design via LMI Optimization  

DEFF Research Database (Denmark)

This paper presents a new procedure for discrete-time robust structured control design. Parameter-dependent nonconvex conditions for stabilizable and induced L2-norm performance controllers are solved by an iterative linear matrix inequalities (LMI) optimization. A wide class of controller structures including decentralized of any order, ?xed-order dynamic output feedback, static output feedback can be designed robust to polytopic uncertainties. Stability is proven by a parameter-dependent Lyapunov function. Numerical examples on robust stability margins shows that the proposed procedure can obtain less conservative results than traditional stability criteria.

Adegas, Fabiano Daher; Stoustrup, Jakob

2011-01-01

311

Wireless Controlled Two Wheel Balancing Robot  

Directory of Open Access Journals (Sweden)

Full Text Available The idea of two wheel self balancing robot had gain popularity among control system researchers worldwide over the last decade. This thesis aimed to design and build a two wheel self balancing robot that can be controlled remotely. The electronic circuit design for the robot was split into parts and connected together through ribbon cable. The robot chassis was constructed using acrylic and mounted on two motors with 440RPM. Battery weighing 80g was placed on top of the chassis.IMU, which comprises of a triple-axis accelerometer and a dual-axis gyroscope, was chosen as robot tilt angle sensor. Analog voltage readings from IMU were converted to tilt angle values and passed through Kalman filter for data fusion. A PID controller wasincorporated to each motor for motor closed loop speed control with motor back-EMF readings as motor speed feedback and PWM duty cycle as controller output. A main PID controller was implemented as the control system for robot balancing with Kalman filtered tilt angle readings as feedback and motor PID controller speed set point value as controller output. A pair of 315MHz RF module was used for robot remote controlling. Data transmitted were encoded to minimize probability of interference by similar source. Microcontroller was linked to the computer through UART for data analyzing on the computer as well as real-time tuning of Kalman filter as well as PID controller through the computer. Lastly, the aim for this project was fully achieved. The robot was able to balance by itself on two wheels with little drift on smooth surface while powered up. The robot can be controlled by the RF controller to move in four directions with random delay caused by noise, which was expected due to low cost RF module used.

Charles Yong; Chiew Foong Kwong

2011-01-01

312

Design of Intelligent Stepping Motor Control System  

Directory of Open Access Journals (Sweden)

Full Text Available According to the applications of stepping motor in industrial controlling fields, an intelligent control system is designed based on personal computer and single chip machine in this paper. The working principle and control mode of stepping motor are introduced firstly. Then, the hardware of single chip machine system is introduced; especially the crystal oscillator circuit, driving circuit, power circuit, LED display circuit, watchdog circuit and serial communication circuit are analyzed in details. Finally the software including motor controlling program, communication program and human-machine interface program are designed. The practice showed that the system has the characters of good performance and low cost, so it can be widely used in stepping motor controlling.

Wen-cheng Wang; Guo-qiang Zhang

2013-01-01

313

Unfalsified Control; Application to automatic flight control system design  

Directory of Open Access Journals (Sweden)

Full Text Available Unfalsified Control Theory has been developed to provide a way for avoiding modeling uncertainties in controller design. It belongs to the class of control methods called Adaptive Supervisory Switching Control, which work by introducing in the control scheme a supervisory unit which chooses, from a set of candidate controllers the one most suited for the current plant. Unfalsified Control works by using a switching logic that dispenses with the need for a-priori knowledge of the dynamic model. At discrete moments of time, using the input/output data recorded up to that point, the supervisory calculates for each candidate controller a performance index, and compares it to a given threshold. Controllers surpassing that threshold are removed from the candidate controller set. This process is called falsification. If the controller in the loop is one such falsified controller it is replaced. In this paper we investigate the suitability of this method for aeronautical control applications. We review the theory behind this control scheme and adapt it to the case of controlling a fighter aircraft. We also provide a case study, where we test this control scheme on a simulated fighter aircraft.

Andrei-Sorin NEAMTU; Adrian-Mihail STOICA

2011-01-01

314

Design A Hybrid Intelligent Controller (Fuzzy-Based Ant Colony Algorithm) For Improving A Tracking Performance of Actual Output Response of SEDC Motor Under The Effect of External Disturbances  

Directory of Open Access Journals (Sweden)

Full Text Available For electrical drives good dynamic performance is mandatory so as to respond to the changes in command speed and torques, so various speed control techniques are being used for real time applications. The speed of a DC motor can be controlled using various controllers like PID Controller, Fuzzy Logic Controller, Ant Colony Algorithm (ACA) and Hybrid Fuzzy-ACA Controller. Fuzzy-ACA Controller is recently getting increasing emphasis in process control applications. The paper describes application of Hybrid Fuzzy-ACA Controller in an enhancement of stability and accuracy of the SEDC Motor under the effect of the external disturbances and noise that is implemented in MATLAB/SIMULINK. The simulation study indicates the superiority Hybrid Fuzzy-ACA Controller over the Ant Colony Algorithm (ACA) and fuzzy logic controller separately. This control seems to have a lot of promise in the applications of power electronics. The speed of theSEDC motor can be adjusted to a great extent so as to provide easy control and high performance. There are several conventional and numeric types of controllers intended for controlling the SEDC motor speed and executing various tasks: PID Controller, Fuzzy Logic Controller; or the combination between them: Fuzzy-Swarm, Fuzzy-Neural Networks, FuzzyGenetic Algorithm, Fuzzy-Ants Colony, Fuzzy-Particle Swarm Optimization. We describe in this paper the use of Ant Colony Algorithm (ACA) for designing an optimal fuzzy logic controller of a SEDC Motor. In this case, our approach will optimize the membership functions of a fuzzy logic controller (FLC) using ACA and the obtained results were simulated on Matlab environment. Excellent flexibility and adaptability as well as high precision and good robustness are obtained by the proposed strategy

Ahmad M.El-Fallah Ismail, Rajiv Ranjan Tewari

2013-01-01

315

Matlab Design and Simulation of AGC and AVR For Single Area Power System With Fuzzy Logic Control  

Directory of Open Access Journals (Sweden)

Full Text Available This paper deals with the combination of automatic generation control (AGC) of thermal system with automatic voltage control (AVR). In this particular work thermal unit is considered with single area concept. The primary purpose of the AGC is to balance the total system generation against system load and losses. Any mismatch between generation and demand causes the system frequency to deviate from scheduled value. Thus high frequency deviation may lead to system collapse. Further the role of automatic voltage regulator is to hold terminal voltage magnitude of synchronous generator at a specified level. The interaction between frequency deviation and voltage deviation is analyzed in this paper. System performance has been evaluated at various loading disturbances. This paper describes the design, implementation and operation performance of fuzzy controller as part of the combined loop of AGC & AVR for single area power system. The fuzzy controller is implemented in the control of ACE calculation in the case of AGC & excitation in case of AVR, which determines the shortfall or surplus generation that has to be corrected. In the case of AVR, fuzzy with PID has been implemented.

Parveen Dabur; Naresh Kumar Yadav; Ram Avtar

2012-01-01

316

Neural Network Control of CSTR for Reversible Reaction Using Reverence Model Approach  

Directory of Open Access Journals (Sweden)

Full Text Available In this work, non-linear control of CSTR for reversible reaction is carried out using Neural Network as design tool. The Model Reverence approach in used to design ANN controller. The idea is to have a control system that will be able to achieve improvement in the level of conversion and to be able to track set point change and reject load disturbance. We use PID control scheme as benchmark to study the performance of the controller. The comparison shows that ANN controller out perform PID in the extreme range of non-linearity.This paper represents a preliminary effort to design a simplified neutral network control scheme for a class of non-linear process. Future works will involve further investigation of the effectiveness of thin approach for the real industrial chemical process

Dauda Olurotimi ARAROMI; Tinuade Jolaade AFOLABI; Duncan ALOKO

2007-01-01

317

SUBSURFACE REPOSITORY INTEGRATED CONTROL SYSTEM DESIGN  

International Nuclear Information System (INIS)

The primary purpose of this document is to develop a preliminary high-level functional and physical control system architecture for the potential repository at Yucca Mountain. This document outlines an overall control system concept that encompasses and integrates the many diverse process and communication systems being developed for the subsurface repository design. This document presents integrated design concepts for monitoring and controlling the diverse set of subsurface operations. The Subsurface Repository Integrated Control System design will be composed of a series of diverse process systems and communication networks. The subsurface repository design contains many systems related to instrumentation and control (I andC) for both repository development and waste emplacement operations. These systems include waste emplacement, waste retrieval, ventilation, radiological and air monitoring, rail transportation, construction development, utility systems (electrical, lighting, water, compressed air, etc.), fire protection, backfill emplacement, and performance confirmation. Each of these systems involves some level of I andC and will typically be integrated over a data communications network throughout the subsurface facility. The subsurface I andC systems will also interface with multiple surface-based systems such as site operations, rail transportation, security and safeguards, and electrical/piped utilities. In addition to the I andC systems, the subsurface repository design also contains systems related to voice and video communications. The components for each of these systems will be distributed and linked over voice and video communication networks throughout the subsurface facility. The scope and primary objectives of this design analysis are to: (1) Identify preliminary system-level functions and interfaces (Section 6.2). (2) Examine the overall system complexity and determine how and on what levels the engineered process systems will be monitored, controlled, and interfaced (Section 6.2). (3) Develop a preliminary design for the overall Subsurface Repository Integrated Control System functional architecture and graphically depict the operational features of this design through a series of control system functional block diagrams (Section 6.2). (4) Develop a physical architecture that presents a viable yet preliminary physical implementation for the Subsurface Repository Integrated Control System functional architecture (Section 6.3). (5) Develop an initial concept for an overall subsurface data communications network that can be used to integrate the various control systems comprising the Subsurface Repository Integrated Control System (Section 6.4). (6) Develop a preliminary central control room design for the Subsurface Repository Integrated Control System (Section 6.5). (7) Identify and discuss the general safety-related issues and design strategies with respect to development of the Subsurface Repository Integrated Control System (Section 6.6). (8) Discuss plans for the Subsurface Repository Integrated Control System's response to off-normal operations (Section 6.7). (9) Discuss plans and strategies for developing software for the Subsurface Repository Integrated Control System (Section 6.8).

2000-01-01

318

Hardware design of a microcomputer controlled diagnostic vacuum controller  

International Nuclear Information System (INIS)

The TFTR diagnostic vacuum controller (DVC) has been designed and built to control and monitor the pumps, valves and gauges which comprise a diagnostic vacuum system. The DVC is a microcomputer based self-contained controller with battery backup which may be controlled manually from front panel controls or remotely via CICADA. The DVC implements all pump and valve sequencing and provides protection against incorrect operation. There are presently two versions of the DVC operating on TFTR and a third version being used on the S-1 machine

1983-01-01

319

Search for B+/- --> [K-/+ pi+/-]_D K+/- and upper limit on the b --> u amplitude in B+/- --> D K+/-  

CERN Multimedia

We search for B+/- --> [K^-/+ pi+/-]_D K+/- decays, where [K-/+ pi+/-]_D indicates that the K-/+ pi+/- pair originates from the decay of a D0 or D0bar. Results are based on 120 million Upsilon(4S) --> B Bbar decays collected with the BaBar detector at SLAC. We set an upper limit on the ratio R_Kpi = {Gamma(B+ --> [K- pi+]_D K+) + Gamma(B- --> [K+ pi-]_D K-)}/ {Gamma(B+ --> [K+ pi-]_D K+) + Gamma(B- --> [K- pi+]_D K-)} D0bar K-)/A(B- --> D0 K-)| D K will be difficult.

Aubert, B; Boutigny, D; Couderc, F; Gaillard, J M; Hicheur, A; Karyotakis, Yu; Lees, J P; Tisserand, V; Zghiche, A; Palano, A; Pompili, A; Chen, J C; Qi, N D; Rong, G; Wang, P; Zhu, Y S; Eigen, G; Ofte, I; Stugu, B; Abrams, G S; Borgland, A W; Breon, A B; Brown, D N; Button-Shafer, J; Cahn, R N; Charles, E; Day, C T; Gill, M S; Gritsan, A V; Groysman, Y; Jacobsen, R G; Kadel, R W; Kadyk, J; Kerth, L T; Kolomensky, Yu G; Kukartsev, G; Le Clerc, C; Lynch, G; Merchant, A M; Mir, L M; Oddone, P J; Orimoto, T J; Pripstein, M; Roe, N A; Ronan, Michael T; Shelkov, V G; Telnov, A V; Wenzel, W A; Ford, K; Harrison, T J; Hawkes, C M; Morgan, S E; Watson, A T; Fritsch, M; Goetzen, K; Held, T; Koch, H; Lewandowski, B; Pelizaeus, M; Steinke, M; Boyd, J T; Chevalier, N; Cottingham, W N; Kelly, M P; Latham, T E; Wilson, F F; Çuhadar-Dönszelmann, T; Hearty, C; Mattison, T S; McKenna, J A; Thiessen, D; Kyberd, P; Teodorescu, L; Blinov, V E; Bukin, A D; Druzhinin, V P; Golubev, V B; Ivanchenko, V N; Kravchenko, E A; Onuchin, A P; Serednyakov, S I; Skovpen, Yu I; Solodov, E P; Yushkov, A N; Best, D; Bruinsma, M; Chao, M; Eschrich, I; Kirkby, D; Lankford, A J; Mandelkern, M A; Mommsen, R K; Röthel, W; Stoker, D P; Buchanan, C; Hartfiel, B L; Gary, J W; Shen, B C; Wang, K; Del Re, D; Hadavand, H K; Hill, E J; MacFarlane, D B; Paar, H P; Rahatlou, S; Sharma, V; Berryhill, J W; Campagnari, C; Dahmes, B; Levy, S L; Long, O; Lu, A; Mazur, M A; Richman, J D; Verkerke, W; Beck, T W; Eisner, A M; Heusch, C A; Lockman, W S; Schalk, T; Schmitz, R E; Schumm, B A; Seiden, A; Spradlin, P; Williams, D C; Wilson, M G; Albert, J; Chen, E; Dubois-Felsmann, G P; Dvoretskii, A; Hitlin, D G; Narsky, I; Piatenko, T; Porter, F C; Ryd, A; Samuel, A; Yang, S; Jayatilleke, S M; Mancinelli, G; Meadows, B T; Sokoloff, M D; Abe, T; Blanc, F; Bloom, P; Chen, S; Clark, P J; Ford, W T; Nauenberg, U; Olivas, A; Rankin, P; Smith, J G; Zhang, L; Chen, A; Harton, J L; Soffer, A; Toki, W H; Wilson, R J; Zeng, Q L; Altenburg, D; Brandt, T; Brose, J; Colberg, T; Dickopp, M; Feltresi, E; Hauke, A; Lacker, H M; Maly, E; Müller-Pfefferkorn, R; Nogowski, R; Otto, S; Petzold, A; Schubert, J; Schubert, Klaus R; Schwierz, R; Spaan, B; Sundermann, J E; Bernard, D; Bonneaud, G R; Brochard, F; Grenier, P; Schrenk, S; Thiebaux, C; Vasileiadis, G; Verderi, M; Bard, D J; Khan, A; Lavin, D; Muheim, F; Playfer, S; Andreotti, M; Azzolini, V; Bettoni, D; Bozzi, C; Calabrese, R; Cibinetto, G; Luppi, E; Negrini, M; Sarti, A; Treadwell, E; Baldini-Ferroli, R; Calcaterra, A; De Sangro, R; Finocchiaro, G; Patteri, P; Piccolo, M; Zallo, A; Buzzo, A; Capra, R; Contri, R; Crosetti, G; Lo Vetere, M; Macri, M; Monge, M R; Passaggio, S; Patrignani, C; Robutti, E; Santroni, A; Tosi, S; Bailey, S; Brandenburg, G; Morii, M; Won, E; Dubitzky, R S; Langenegger, U; Bhimji, W; Bowerman, D A; Dauncey, P D; Egede, U; Gaillard, J R; Morton, G W; Nash, J A; Taylor, G P; Grenier, G J; Mallik, U; Cochran, J; Crawley, H B; Lamsa, J; Meyer, W T; Prell, S; Rosenberg, E I; Yi, J; Davier, M; Grosdidier, G; Höcker, A; Laplace, S; Le Diberder, F R; Lepeltier, V; Lutz, A M; Petersen, T C; Plaszczynski, S; Schune, M H; Tantot, L; Wormser, G; Cheng, C H; Lange, D J; Simani, M C; Wright, D M; Bevan, A J; Coleman, J P; Fry, J R; Gabathuler, Erwin; Gamet, R; Parry, R J; Payne, D J; Sloane, R J; Touramanis, C; Back, J J; Harrison, P F; Mohanty, G B; Brown, C L; Cowan, G; Flack, R L; Flächer, H U; Green, M G; Marker, C E; McMahon, T R; Ricciardi, S; Salvatore, F; Vaitsas, G; Winter, M A; Brown, D; Davis, C L; Allison, J; Barlow, N R; Barlow, R J; Hart, P A; Hodgkinson, M C; Lafferty, G D; Lyon, A J; Williams, J C; Farbin, A; Hulsbergen, W D; Jawahery, A; Kovalskyi, D; Lae, C K; Lillard, V; Roberts, D A; Blaylock, G; Dallapiccola, C; Flood, K T; Hertzbach, S S; Kofler, R; Koptchev, V B; Moore, T B; Saremi, S; Stängle, H; Willocq, S; Cowan, R; Sciolla, G; Taylor, F; Yamamoto, R K; Mangeol, D J J; Patel, P M; Robertson, S H; Lazzaro, A; Palombo, F; Bauer, J M; Cremaldi, L M; Eschenburg, V; Godang, R; Kroeger, R; Reidy, J; Sanders, D A; Summers, D J; Zhao, H W; Brunet, S; Côté, D; Taras, P; Nicholson, H; Cavallo, N; Fabozzi, F; Gatto, C; Lista, L; Monorchio, D; Paolucci, P; Piccolo, D; Sciacca, C; Baak, M; Bulten, H; Raven, G; Wilden, L; Jessop, C P; LoSecco, J M; Gabriel, T A; Allmendinger, T; Brau, B; Gan, K K; Honscheid, K; Hufnagel, D; Kagan, H; Kass, R; Pulliam, T; Rahimi, A M; Ter-Antonian, R; Wong, Q K; Brau, J E; Frey, R; Igonkina, O; Potter, C T; Sinev, N B; Strom, D; Torrence, E; Colecchia, F; Dorigo, A; Galeazzi, F; Margoni, M; Morandin, M; Posocco, M; Rotondo, M; Simonetto, F; Stroili, R; Tiozzo, G; Voci, C; Benayoun, M; Briand, H; Chauveau, J; David, P; La Vaissière, C de; Del Buono, L; Hamon, O; John, M J J; Leruste, P; Ocariz, J; Pivk, M; Roos, L; T'Jampens, S

2004-01-01

320

Design of Controller in Electric Bicycle  

Directory of Open Access Journals (Sweden)

Full Text Available Base on PIC16F72, a design of brushless DC motor controller strategy applied to the electric bicycle control system was presented in the paper. Through analyzed some possible problems when electric bicycle running daily. Function of over-current protection, under-voltage protection and helping were accomplished. Schematic diagrams of each function and drive circuit were given in the paper, the controller was debugged in rated voltage 36V and power rating 250W brushless DC motor, experiment turned out controller has better dynamic characteristics and ran steadily.

Zhidong Zhang; Jingfeng Shen; Baohui Li

2011-01-01

 
 
 
 
321

Thrust control system design of ducted rockets  

Science.gov (United States)

The investigation of the thrust control system is aroused by the need for propulsion system of ducted rockets. Firstly the dynamic mathematical models of gas flow regulating system, pneumatic servo system and ducted rocket engine were established and analyzed. Then, to conquer the discussed problems of thrust control, the idea of information fusion was proposed to construct a new feedback variable. With this fused feedback variable, the thrust control system was designed. According to the simulation results, the introduction of the new fused feedback variable is valid in eliminating the contradiction between rapid response and stability for the thrust control system of ducted rockets.

Chang, Juntao; Li, Bin; Bao, Wen; Niu, Wenyu; Yu, Daren

2011-07-01

322

Advanced CANDU reactor distributed control system design  

International Nuclear Information System (INIS)

[en] The digital control computers (DCCs) used in existing CANDU power reactors are used for direct digital control of important process functions and for operator interface functions such as manual controls, process displays, and alarm annunciation. In the Advanced CANDU Reactor (ACR), computer control and operator interface functions have been expanded. In keeping with industry trends and the availability of commercial products, the process control and operator interface functions are allocated to two separate systems: a distributed control system (DCS) used for data acquisition and control functions, and a plant display system (PDS) used for the main control room operator interface functions. This paper will focus on the ACR distributed control system. Hitachi's HIACS-7000 line of DCS equipment has been selected for the ACR distributed control system. This family of DCS equipment is well proven in nuclear and thermal plant applications. The paper will describe the characteristics and capabilities of this equipment and will outline the design of the plant-wide distributed control system. The paper will also present some of the benefits of using this control system such as reduced cabling costs, ease of maintenance due to the built-in system diagnostics, and the high reliability achieved through the use of built-in redundancy features. (author)

2004-01-01

323

Design of Threshold Controller Based Chaotic Circuits  

DEFF Research Database (Denmark)

We propose a very simple implementation of a second-order nonautonomous chaotic oscillator, using a threshold controller as the only source of nonlinearity. We demonstrate the efficacy and simplicity of our design through numerical and experimental results. Further, we show that this approach of using a threshold controller as a nonlinear element, can be extended to obtain autonomous and multiscroll chaotic attractor circuits as well.

Mohamed, I. Raja; Murali, K.

2010-01-01

324

TWO-LEVEL OPTIMAL CONTROL DESIGN ??????????????? ?????????????? ???????????? ?????????? ????????????? ???????????? ???????????? ?????????  

Directory of Open Access Journals (Sweden)

Full Text Available  The method of analytical design of the two-level optimal control algorithm is considered here together with using of the functional of the work generalized. The method offered may be used not only at the stage of preliminary synthesis of branching trajectories but for operative trajectories optimization of compound dynamic systems as well. The method of two-level tasks solution considered here may be extended to other objects of control.  ?????????? ????? ?????????????? ??????????????? ?????????? ?????????????? ???????????? ?????????? ? ?????????????? ??????????? ?????????? ??????. ????????, ??? ???????????? ????? ????? ????????? ?? ?????? ?? ????? ???????????????? ??????? ?????????? ??????????, ?? ? ??? ??????????? ??????????? ?????????? ????????? ???????????? ??????. ??????????????? ????? ??????? ????????????? ????? ????? ???? ????????????? ?? ?????? ??????? ??????????. ?????????? ????? ???????????? ????????????? ?????????? ???????????? ???????????? ????????? ? ????????????? ??????????? ???????????? ??????. ????????, ?? ?????????????? ????? ????? ????????????? ?? ?????? ?? ????? ???????????? ??????? ???????????? ??????????, ??? ? ??? ??????????? ?????????? ????????? ?????????? ??????. ??????????? ????? ????’?????? ??????????? ????? ???? ???? ?????????????? ?? ???? ??’???? ?????????.

A.I. Lysenko; V.N. Kazak; I.V. Chekanova

2005-01-01

325

Experimental Comparison Between Control Schemes for a Drying Process Dynamics  

Directory of Open Access Journals (Sweden)

Full Text Available This paper proposes a high performance nonlinear fuzzy controller for a drying controlprocess. The highly nonlinear characteristics of drying processes make classical control theory unableto provide the same performance results as it does in more well behaved systems. Advanced controlstrategies can be used to design temperature, relative humidity and air velocity nonlinear trackingcontrollers, in order to overcome its highly non-linear dynamics over the whole drying operatingconditions. Open-loop experiments were carried out to collect experienced-based knowledge of theprocess. PID and Fuzzy logic (FLC) real-time-based controllers were designed to perform fooddrying tests compared without controllers’ retuning. Absolute errors reached by FLC controller were3.71 and 3.93 times lower than PID for temperature and relative humidity, respectively.

Camila Nicola Boeri; Fernando J. Neto da Silva; Jorge A. F. Ferreira; Marco P. Soares dos Santos

2012-01-01

326

Pid1 Induces Insulin Resistance in Both Human and Mouse Skeletal Muscle during Obesity.  

UK PubMed Central (United Kingdom)

Obesity is associated with insulin resistance and abnormal peripheral tissue glucose uptake. However, the mechanisms that interfere with insulin signaling and glucose uptake in human skeletal muscle during obesity are not fully characterized. Using microarray, we have identified that the expression of Pid1 gene, which encodes for a protein that contains a phosphotyrosine-interacting domain, is increased in myoblasts established from overweight insulin-resistant individuals. Molecular analysis further validated that both Pid1 mRNA and protein levels are increased in cell culture models of insulin resistance. Consistent with these results, overexpression of phosphotyrosine interaction domain-containing protein 1 (PID1) in human myoblasts resulted in reduced insulin signaling and glucose uptake, whereas knockdown of PID1 enhanced glucose uptake and insulin signaling in human myoblasts and improved the insulin sensitivity following palmitate-, TNF-?-, or myostatin-induced insulin resistance in human myoblasts. Furthermore, the number of mitochondria in myoblasts that ectopically express PID1 was significantly reduced. In addition to overweight humans, we find that Pid1 levels are also increased in all 3 peripheral tissues (liver, skeletal muscle, and adipose tissue) in mouse models of diet-induced obesity and insulin resistance. An in silico search for regulators of Pid1 expression revealed the presence of nuclear factor-?B (NF-?B) binding sites in the Pid1 promoter. Luciferase reporter assays and chromatin immunoprecipitation studies confirmed that NF-?B is sufficient to transcriptionally up-regulate the Pid1 promoter. Furthermore, we find that myostatin up-regulates Pid1 expression via an NF-?B signaling mechanism. Collectively these results indicate that Pid1 is a potent intracellular inhibitor of insulin signaling pathway during obesity in humans and mice.

Bonala S; McFarlane C; Ang J; Lim R; Lee M; Chua H; Lokireddy S; Sreekanth P; Leow MK; Meng KC; Shyong TE; Lee YS; Gluckman PD; Sharma M; Kambadur R

2013-09-01

327

Study on automatic tuning of ship`s PID regulators; Hakuyo seigyo system no gain jido chosei ni kansuru kenkyu  

Energy Technology Data Exchange (ETDEWEB)

Proportional, integral and derivative (PID) controls are used for a steering system and a main engine control unit installed in a vessel. Among them, this paper describes effectiveness of a PID gain tuning method using a limit cycle by means of relay control which is safer and simpler than conventional limit sensitivity methods. The present method was applied to an actual marine control system to conduct an actual vessel experiment. As a result of applying the method to a bow azimuth control system using a rudder, a new azimuth setting was set with an overshoot of 1.6 degrees in a ten-degree azimuth changing experiment. With respect to direction maintaining steering performance, the present method was capable of controlling the direction at a speed loss to about 80% of the ship`s autopilot. As a result of applying the method to a bow azimuth control system using a bow thruster, direction maintaining and changing control was realized in a low speed range in which rudder effect is lost. As a result of applying it to a main engine governor system and performing control of main engine rotation speed, it was found possible to derive control gains in a safe state without applying an excessive load to the main engine both under load and no load conditions. 14 refs., 8 figs., 11 tabs.

Nakatani, T. [Toyama Mercantile Marine College, Toyama (Japan); Otsu, K.; Moriyoshi, N. [Tokyo Univ. of Mercantile Marine, Tokyo (Japan); Okazaki, T. [Nagoya Institute of Technology, Nagoya (Japan)

1996-12-31

328

Progress on Development of the New FDIRC PID Detector  

Energy Technology Data Exchange (ETDEWEB)

We present a progress status of a new concept of PID detector called FDIRC, intended to be used at the SuperB experiment, which requires {pi}/K separation up to a few GeV/c. The new photon camera is made of the solid fused-silica optics with a volume 25x smaller and speed increased by a factor of ten compared to the BaBar DIRC, and therefore will be much less sensitive to electromagnetic and neutron background

Vavra, Jerry

2012-08-03

329

Dynamic Model and Robust Control of Flexible Link Robot Manipulator  

Directory of Open Access Journals (Sweden)

Full Text Available The problems of a flexible link manipulator are uncertainties and parametric nonlinearities. This paper presents design and development of a robust control based on linear quadratic regulator (LQR) for a flexible link manipulator. System performances were evaluated in terms of input tracking capability of hub angular position response, end-point displacement, end-point residual and hub velocity. For the controller of the system, LQR was developed to solve flexible link robustness and input tracking capability of hub angular position. The results achieved by the proposed controller are compared with conventional PID, to substantiate and verify the advantages of the proposed scheme and its promising potential in control of a flexible link manipulator. The robust control presented faster settling time and smaller overshoot responses and tracking performances of the proposed controller compared with PID controllers.

Muhammad Khairudin; Zaharuddin Mohamed; Abdul Rashid Husain

2011-01-01

330

Controller design approach based on linear programming.  

UK PubMed Central (United Kingdom)

This study explains and demonstrates the design method for a control system with a load disturbance observer. Observer gains are determined by linear programming (LP) in terms of the Routh-Hurwitz stability criterion and the final-value theorem. In addition, the control model has a feedback structure, and feedback gains are determined to be the linear quadratic regulator. The simulation results confirmed that compared with the conventional method, the output estimated by our proposed method converges to a reference input faster when a load disturbance is added to a control system. In addition, we also confirmed the effectiveness of the proposed method by performing an experiment with a DC motor.

Tanaka R; Shibasaki H; Ogawa H; Murakami T; Ishida Y

2013-07-01

331

Robust block decomposition sliding mode control design  

Directory of Open Access Journals (Sweden)

Full Text Available The paper examines the problem of sliding mode manifold design for uncertain nonlinear system with discontinuous control. The original plant first is decomposed such that the problem is divided into a number of simpler sub-problems. Then the block control recursive procedure is presented in which nonlinear sliding manifold is derived. Finally combined high gain and Lyapunov functions techniques are applied to establish hierarchy of the control gains and to estimate the upper bounds of the sliding mode equation solutions.

Loukianov Alexander G.

2002-01-01

332

Designing control of a power system  

Energy Technology Data Exchange (ETDEWEB)

With the development of Hungary's electric power system (EES) the problems of the EROTERV Institute in designing mode regulation systems grew. These systems determine the balance between the production and demand for electric power, which supports not only the maintenance of the frequency and level of voltage in the electrical grid, but also determines the stability of the operation of the electric power system as a whole. A review is cited of the design solutions to control systems in a chronological order. Certain characteristic problems in contemporary control of operational modes of the electric power system are examined and their the trends in their future improvement are determined. The structural layout of mode control systems are cited.

Szilagyi, A.; Nemeth, A.

1980-01-01

333

Stable Adaptive Control Using New Critic Designs  

CERN Multimedia

Classical adaptive control proves total-system stability for control of linear plants, but only for plants meeting very restrictive assumptions. Approximate Dynamic Programming (ADP) has the potential, in principle, to ensure stability without such tight restrictions. It also offers nonlinear and neural extensions for optimal control, with empirically supported links to what is seen in the brain. However, the relevant ADP methods in use today -- TD, HDP, DHP, GDHP -- and the Galerkin-based versions of these all have serious limitations when used here as parallel distributed real-time learning systems; either they do not possess quadratic unconditional stability (to be defined) or they lead to incorrect results in the stochastic case. (ADAC or Q-learning designs do not help.) After explaining these conclusions, this paper describes new ADP designs which overcome these limitations. It also addresses the Generalized Moving Target problem, a common family of static optimization problems, and describes a way to st...

Werbos, P J

1998-01-01

334

CV controls from design to operation  

CERN Multimedia

The cooling and Ventilation (CV) group has emphasised the need to redefine its organisational structure at the end of 98. The main objective of this operation was to ensure the CV group to be more competitive and efficient through the growing tasks of the LHC projects. The main evolution given to this reorganisation is that the new structure is more project oriented and then operates on three distinct axes: Design, Work and Operation. Process control project management requires a complete and early interaction and participation of all the actors involved. This procedure to be efficient and constructive must be considered and performed not only during the design stage but along the project planning phases and must go beyond the completion work including the process control operation activity. The paper explains the present project management for process control. It describes the present constraints and gives suggestions to a different approach to these projects to improve performances and efficiency of a contr...

Blanc, D

2002-01-01

335

STABILIZED CONTROLLER DESIGN FOR ATTITUDE AND ALTITUDE CONTROLLING OF QUAD-ROTOR UNDER DISTURBANCE AND NOISY CONDITIONS  

Directory of Open Access Journals (Sweden)

Full Text Available This article presents a control approach to obtain the better stabilization in attitude and altitude of quad-rotor under different disturbance conditions. In the standard Quad-rotor rotor type UAV, controlling of attitude and altitude is one of the most critical tasks and appropriate controller for stabilization of UAV is essential and necessary. These two controls under various conditions of disturbances was a field of research stimulating for the researchers. The controller proposed is contingent on the PID feedback structure with Extended Kalman Filter (EKF). From Lyapunov Stability Theorem, it is proved that quad-rotor proposed altitude control system is asymptotic as well exponentially stability. Extended Kalman Filter (EKF) is used to filter out the sensors and system noises. Finally, the simulations carried out on MATLAB and the result proved the effectiveness of proposed recommended method for stabilization of attitude and altitude of quad-rotor.

M. Hassan Tanveer; S. Faiz Ahmed; D. Hazry; Faizan A. Warsi; M. Kamran Joyo

2013-01-01

336

SIMPLIFIED APPROACHES FOR CONTROLLING DC-DC POWER CONVERTERS  

Directory of Open Access Journals (Sweden)

Full Text Available This paper represents the design procedures of different compensation schemes for voltage mode controlled (VMC) dc–dc switching converters. Proportional integral derivative (PID) controllers, Fuzzy logic controllers (FLC), parallel combination of PID and FLC, and FLC tuned by PI controller have been investigated. MATLAB software is used to depict the buck converter performance with each compensator type when it is electrically simulated, and analytically modeled using its equivalent transfer function (TF). The comparative study Resultsemphasize that FLC tuned by PI controller is superior to the other control strategies because of fast transient response, minimum steady state error and good disturbance rejection under various variations of the operating conditions. Hence, it achieves the most tightly output voltage regulation.

M. M. ABDEL AZIZ; A. A. MAHFOUZ; D. M. KHORSHIED

2012-01-01

337

Design of Intelligent Ambulance and Traffic Control  

Directory of Open Access Journals (Sweden)

Full Text Available This paper represents the unique feature which is very useful to ambulance drivers to take an alternate route in case of congestion. The various performance evaluation criteria are average waiting time, average distance traveled by vehicles, switching frequency of green light at a junction, efficient emergency mode operation and satisfactory operation of SMS using GSM Mobile. The performance of the Intelligent Traffic Light Controller is compared with the Fixed Mode Traffic Light Controller. It is observed that the proposed Intelligent Traffic Light Controller is more efficient than the conventional controller in respect of less waiting time, more distance traveled by average vehicles and efficient operation during emergency mode and GSM interface. Moreover, the designed system has simple architecture, fast response time, user friendliness and scope for further expansion.

Prof. Gajanan P. Dhok,; Ms. Sarika B. Kale,

2013-01-01

338

Fuzzy-PID control for multisource energy management in buildings  

Digital Repository Infrastructure Vision for European Research (DRIVER)

In France, 25% of greenhouse effect gases (GEG) emissions and 46% of global energy consumption are due to buildings. Based on legal documentation such as "Réglementation Thermique 2005" (RT2005) and "Diagnostic de Performance Energétique" (DPE), objectives of the French government focus on reducing ...

Paris, Benjamin; Eynard, Julien; Thiéry, Frédérik; Traore, Adama; Talbert, Thierry; Grieu, Stéphane

339

OPTIMAL CONTROL ALGORITHMS FOR SECOND ORDER SYSTEMS  

Directory of Open Access Journals (Sweden)

Full Text Available Proportional Integral Derivative (PID) controllers are widely used in industrial processes for their simplicity and robustness. The main application problems are the tuning of PID parameters to obtain good settling time, rise time and overshoot. The challenge is to improve the timing parameters to achieve optimal control performances. Remarkable findings are obtained through the use of Artificial Intelligence techniques as Fuzzy Logic, Genetic Algorithms and Neural Networks. The combination of these theories can give good results in terms of settling time, rise time and overshoot. In this study, suitable controllers able of improving timing performance of second order plants are proposed. The results show that the PID controller has good overshoot values and shows optimal robustness. The genetic-fuzzy controller gives a good value of settling time and a very good overshoot value. The neural-fuzzy controller gives the best timing parameters improving the control performances of the others two approaches. Further improvements are achieved designing a real-time optimization algorithm which works on a genetic-neuro-fuzzy controller.

Danilo Pelusi; Raffaele Mascella

2013-01-01

340

Quantitative resilience analysis through control design.  

Energy Technology Data Exchange (ETDEWEB)

Critical infrastructure resilience has become a national priority for the U. S. Department of Homeland Security. System resilience has been studied for several decades in many different disciplines, but no standards or unifying methods exist for critical infrastructure resilience analysis. Few quantitative resilience methods exist, and those existing approaches tend to be rather simplistic and, hence, not capable of sufficiently assessing all aspects of critical infrastructure resilience. This report documents the results of a late-start Laboratory Directed Research and Development (LDRD) project that investigated the development of quantitative resilience through application of control design methods. Specifically, we conducted a survey of infrastructure models to assess what types of control design might be applicable for critical infrastructure resilience assessment. As a result of this survey, we developed a decision process that directs the resilience analyst to the control method that is most likely applicable to the system under consideration. Furthermore, we developed optimal control strategies for two sets of representative infrastructure systems to demonstrate how control methods could be used to assess the resilience of the systems to catastrophic disruptions. We present recommendations for future work to continue the development of quantitative resilience analysis methods.

Sunderland, Daniel; Vugrin, Eric D.; Camphouse, Russell Chris (Sandia National Laboratories, Carlsbad, NM)

2009-09-01

 
 
 
 
341

Designing for reliability and safety control  

Energy Technology Data Exchange (ETDEWEB)

This work provides a quantitative treatment of the optimal design of safety systems focusing on information links (human and computer), sensors, and control systems. It deals with the important topics of protection from terrorist attacks and sabotage. Its shows the complex interactions between plant equipment and human operators, automatic control systems, computer hardware and software, and protective systems. This book expands the scope and role of reliability and safety engineers by introducing them to new concepts such as human behavior, computer failures, artificial intelligence techniques, alarm optimization, and fault-free synthesis.

Henley, E.J.; Kumamoto, H.

1985-01-01

342

Designer's handbook of instrumentation and control circuits  

CERN Multimedia

Here is a comprehensive, practical guide to the entire process of analog instrumentation and control, from sensor input to data conversion circuitry and final output. This readable handbook avoids complex mathematical treatments, instead taking an applications-oriented approach and presenting many sample circuits and concrete examples. It is an essential reference for engineers and high-level technicians in a variety of scientific and engineering fields--anywhere data is collected electronically and where such data is used to control physical processes.Key Features* Covers design o

Carr, Joseph J

1991-01-01

343

Control and formation flying for the quadrotor UAV  

Science.gov (United States)

In this paper, control and formation flying for the mini quadrotor UAV are studied. First, the quadrotor UAV is modeled and its simplified mathematical model is given. And then using the traditional PID method in all the designed controller channels, each channel is given in the simulation under different excitation curve. Next the formation problem of the mini quadrotor UAV is analyzed with establishing the dynamic equation of a wingman and the relevant simulation curve is given at last.

Tang, Zhiyong; He, Longlong; Pei, Zhongcai

2011-10-01

344

ROBUST POSITIONING OF LASER BEAMS USING PROPORTIONAL INTEGRAL DERIVATIVE AND BASED OBSERVER-FEEDBACK CONTROL  

Directory of Open Access Journals (Sweden)

Full Text Available High-precision positioning of laser beams has been a great challenge in industry due to inevitable existence of noise and disturbance. The work presented in this study addresses this problem by employing two different control strategies: Proportional Integral Derivative (PID) control and state feedback control with an observer. The control strategies are intended to stabilize the position of a laser beam on a Position Sensing Device (PSD) located on a Laser Beam Stabilization (or, laser beam system) system. The laser beam system consists of a laser source, a Fast Steering Mirror (FSM), a PSD and a vibrating platform to generate active disturbance. The traditional PID controller is widely used in industry due to its satisfactory performance, various available tuning methods and relatively straightforward design processes. However, design of filters to obtain the derivative signal is challenging and can unexpectedly distort the dynamics of the system being controlled. As an alternative, use of an Observer-Based State Feedback (OBSF) method is proposed and implemented. The state-space model of the laser beam system is utilized and an observer is applied to estimate the state of the system, since all the state variables cannot be measured directly. For observer design, eigenvalue assignment and optimal design methods are used and compared in terms of system performance. Also a comparative analysis between the PID and OBSF controllers is provided. Simulations and experimental results show that the OBSF controller rejects disturbance better and has a simpler design procedure.

Kwabena A. Konadu; Sun Yi; Wonchang Choi; Taher Abu-Lebdeh

2013-01-01

345

Design and Experimental Study on Digital Speed Control System of a Diesel Generator  

Directory of Open Access Journals (Sweden)

Full Text Available This study proposed a kind of digital embedded controller for the diesel generator. Some digital circuit such as single chip microprocessor have been used in the system, therefore it can control the diesel more efficiently and accurately. Based on the theory analysis, a circuit card used in the control system has been developed by means of development tools, such as Altium10, PCB99 and Multisim. Besides, the control program corresponding to PID control algorithm has been used. The experiment results show that the controller is work well in the plateau low-temperature environment and normal environment. We are sure that our embedded controller offers a wide scope of application in the field of digital controllers in the diesel generator industry.

En-Zhe Song; Fu-Hong Kuang; Cong Yao; Jun Sun

2013-01-01

346

Advanced Control Design for Wind Turbines; Part I: Control Design, Implementation, and Initial Tests  

Energy Technology Data Exchange (ETDEWEB)

The purpose of this report is to give wind turbine engineers information and examples of the design, testing through simulation, field implementation, and field testing of advanced wind turbine controls.

Wright, A. D.; Fingersh, L. J.

2008-03-01

347

Design and VLSI Implementation of HDLC Controller  

Directory of Open Access Journals (Sweden)

Full Text Available The HDLC Controller MEGACELL is a high performance module for the bit oriented, switched, non-switched packet transmission module. The controller fulfills the specifications according to ITU Q.921, X.25 Level 2 recommendation. It supports half duplex and full duplex communication lines, point-to-point and multipoint channels. The Controller is designed to permit synchronous, code transparent data transmission. The control information is always in the same position and specific bit patterns used for control differ dramatically from those representing data, which reduces the chances of errors. The data stream and transmission rate is controlled from the network node. This eliminates additional synchronization and buffering of the data at the network interface. Some common applications include terminal-to-terminal, terminal to CPU, satellite communication, packet switching and other high-speed data links. In system, which require expensive cabling, and interconnection hardware? So this core can be used to simplify interfacing by going serially, thereby reducing interconnects hardware costs. Since it is speed independent, reducing interconnect hardware could become an important hardware.

Savita Yadav; Anuradha Yadav; Nishant Tripathi; Sanjay Singh

2012-01-01

348

A novel proportional--integral-derivative control configuration with application to the control of batch distillation  

Energy Technology Data Exchange (ETDEWEB)

The aim of this paper is to propose a novel proportional-integral-derivative (PID) control configuration based on an observer structure. Batch distillation is used as the base case study where the regulated output is the distillate composition. The proposed PID control law is derived in the framework of robust nonlinear control with modeling error compensation techniques. A reduced-order observer is proposed to estimate both the derivative of the regulated output and the underlying modeling error. These observations are subsequently used in a control loop to feedback variations of distillate composition (derivative feedback) and to counteract the effects of modeling errors. It is shown that, under certain conditions, the resulting control law is equivalent to a classical PID controller with an antireset windup scheme. Moreover, the tuning of the controller is performed very easily in terms of a prescribed closed-loop time constant and an estimation time constant. Numerical results are provided for binary and multicomponent separations. Sampled/delayed measurements and several sources of uncertainties are considered in order to provide a realistic test scenario for the proposed control design procedure.

Alvarez-Ramirez, J.; Monroy-Loperena, R.; Cervantes, I.; Morales, A.

2000-02-01

349

Firmware design of a microcomputer controlled diagnostic vacuum controller  

International Nuclear Information System (INIS)

The diagnostic vacuum controller (DVC) in use on the TFTR and S-1 machines at Princeton is designed around the Intel 8749 microcomputer. An interpreter was designed to make the computer look like a specialized programmable controller with functions to perform Boolean algebra, simulate programmable timers and one-shots, measure the speed of a turbo-molecular pump and to provide a set of self-diagnostics. This approach was chosen to allow the required program to fit in the 2K bytes of ROM in the 8749 instead of the approximately 10K bytes some other methods might have required. The DVC operates on a 100 msec cycle. During each cycle, all of the inputs are read, the outputs calculated during the previous cycle are sent out, and a new set of outputs are calculated. This sequence allows the previous state of the system to be used in the calculation of the current state of the system

1983-01-01

350

Fussy control for the operation of an electric energy generation system based in type PEM fuel cells; Control difuso para la operacion de un sistema de generacion de energia electrica basado en celdas de combustible tipo PEM  

Energy Technology Data Exchange (ETDEWEB)

In this work, the design of a control system with fuzzy PID controllers is reported. It combines the techniques of multimode control and gain scheduling as well as the design of a compensator that will reduce the interaction effects among control loops in a multivariable system. The simulated system is based on a non-lineal mathematical model. Its validity range supports up to 1440 watts, for a nominal design of 1 KW power. To carry out the fuzzy PID Controller's design, firstly the PID conventional controllers were designed for three operating points of power demand: 0 W, 500 W and 1000 W. The methodology adopted for the determination of the conventional PID controller's parameters was poles cancellation. This methodology demanded the lineal identification of the process for the three mentioned operating points: low, medium and high power. With the information obtained from the adjusted conventional controllers in the three operating points, the design of fuzzy PID controllers based on the TSK system was achieved. For this work, this method is equivalent to the technique of gain scheduling since only conventional PID controllers with the same structure are used. In addition, a control scheme using a compensator that had the function of reducing the interaction effects among the control loops was designed. The compensator was located between the controller and the plant and only introduces compensation factors among control signals, maintaining the direct path of the control loop in the original control scheme. Several tests of the whole operating range, in order to make a performance analysis of both the conventional PID controller and the fuzzy PID controller were carried out, introducing step form signals in the power demand. The performance of the generation system was validated as a function of an error based index minimization as well as on the actuator control signal shape. The dynamic coupling degree among the control loops was analyzed, as well as static interaction compensators with the most common methods found in the bibliography: ideal, simplified and inverse were designed. Simulation tests for the analysis of the compensator with reference changes for anode pressure, cathode pressure changes as well as for cell temperature carried out. Also, a fuzzy compensator to carry out the analysis in the whole operation range were designed. [Spanish] En este trabajo se reporta el diseno de un sistema de control integrado por controladores PID difusos, que conjunta las tecnicas de control multimodo y de ganancias programadas, y el diseno de un compensador que reduce los efectos de interaccion entre los lazos de control del sistema multivariable. El modelo matematico que se simulo en este trabajo de tesis tiene la caracteristica de ser un modelo no lineal. Su rango de validez abarca hasta 1440 watts, para un diseno nominal de 1 KW de potencia. Para llevar a cabo el diseno del Controlador PID difuso, primero se disenaron controladores PID convencionales en tres puntos de operacion de demanda de potencia: 0 W, 500 W y 1000 W. La metodologia de ajuste empleada para la determinacion de las ganancias del control PID convencional fue la de cancelacion de polos. Esta metodologia requirio de la identificacion lineal del proceso en los tres puntos de operacion mencionados: baja, media y alta potencia. Con la informacion obtenida de los controladores convencionales ajustados en los tres puntos de operacion, fue posible el diseno de controladores PID difusos basados en el sistema TSK. Para este trabajo de tesis el metodo es solo equivalente a la tecnica de ganancias programadas ya que solo se usan controladores PID convencionales con la misma estructura. Se diseno tambien un esquema de control con un compensador el cual tiene como funcion el reducir los efectos de interaccion entre los lazos de control. Dicho compensador se localizo entre el controlador y la planta y solamente introduce factores de compensacion entre las senales de control conservando la via directa del lazo de control del esquema de control original. Se

Vazquez Roman, Miguel

2004-10-15

351

Present status of Plant control Design Handbook  

Energy Technology Data Exchange (ETDEWEB)

ITER over all instrumentation and control (IC) is composed of three separate tiers, CODAC conventional control, interlock and safety with two layers, Central IC Systems and Plant Systems. ITER procurement model poses challenges for IC lifetime from architecture design to future maintenance and requires a strong standardization for ITER plant integration. Plant Control Design Handbook (PCDH) provides IC standardization and interface specifications between Plant Systems IC and Central IC Systems. The objective is defining standards, later to be supported, maintained, and enforced, in order to integrate and maintain ITER IC. This paper describes present status of the PCDH. IC standardization process includes market survey and technical survey for appropriate off-the-shelf technical solutions of Hardware and Software with prototype making by different contracts. A major release of PCDH version 4.0 is expected in April 2009, which will be reference document for Procurement Arrangement. New version of this document will be released throughout the lifetime of ITER to take into account standards and specifications extensions and evolutions and to address obsolescence management. This document is composed of an abstract followed by the presentation transparencies. (authors)

Dave, H.; Wallander, A.; Hansalia, C.; Stepanov, D.; Gulati, H.K.; Yonekawa, I.; Journeaux, J.Y.; Mahajan, K.; Scibile, L.; Utzel, N.; Klotz, W.D.; Di Maio, F. [ITER Organization, 13 - St. Paul lez Durance (France); Joonekindt, D. [ATOS Origin, 38 - Meylan (France)

2009-07-01

352

Present status of Plant control Design Handbook  

International Nuclear Information System (INIS)

ITER over all instrumentation and control (IC) is composed from three separate tiers, CODAC conventional control, interlock and safety with two layers, Central IC Systems and Plant Systems. ITER procurement model poses challenges for IC life cycle from architecture design to future maintenance and requires a strong standardization for ITER plant integration. Plant Control Design Handbook (PCDH) provides IC standardization and interface specifications between Plant Systems IC and Central IC Systems. The objective is defining standards, later to be supported, maintained, and enforced, in order to integrate and maintain ITER IC. This paper describes present status of the PCDH. IC standardization process includes market survey and technical survey for appropriate off-the-shelf technical solutions of Hardware and Software with testing through different contracts. A major release of PCDH version 4.0 is expected in April 2009, which will be reference document for Procurement Arrangement. New version of this document will be released throughout the lifetime of ITER to take into account standards and specifications extensions and evolutions and to address obsolescence management. This document is composed of an abstract followed by the presentation slides. (authors)

2009-01-01

353

Conceptual Design of Dependable Embedded Control Systems  

UK PubMed Central (United Kingdom)

IntroductionA modern machinery system (aircraft, spacecraft, road or rail vehicles etc.) is very complex and dependson and incorporates a number of functions, for example mission management, control of dynamics,external communication, diagnostics, and maintenance support, all with dependencies and messageexchanges.Clearly, the functions and their associated performance and dependability (here primarily referring tosafety and reliability) requirements need to be carefully considered when the embedded computer systemis designed. This is particularly so for machinery, where the embedded systems constitute heterogeneousdistributed computers.In order to dimension and specify these computer systems it is necessary to analyze the requirements ofall functions and, in the early design phases, to establish a structure of the distributed computer system,its subsystems and equipment. Moreover, the functional requirements need to be synthesized intorequirements on processing an

354

Design and Analysis of Piezoelectric Smart Beam for Active Vibration Control  

Science.gov (United States)

This paper deals with the Active Vibration control of beam like structures with distributed piezoelectric actuator and sensor layers bonded on top and bottom surfaces of the beam. The patches are located at the different positions to determine the better control effect. The piezoelectric patches are placed on the free end, middle end and fixed end. The study is demonstrated through simulation in MATLAB for various controllers like Proportional Controller by Output Feedback, Proportional Integral Derivative controller (PID) and Pole Placement technique. A smart cantilever beam is modeled with SISO system. The entire structure is modeled using the concept of piezoelectric theory, Euler-Bernoulli beam theory, Finite Element Method (FEM) and the State Space techniques. The numerical simulation shows that the sufficient vibration control can be achieved by the proposed method.

Chhabra, Deepak; Narwal, Kapil; Singh, Pardeep

2012-06-01

355

Controller Design for Synchronizing Distributed Generation Systems with the Phase Locked Loop (PLL)  

Directory of Open Access Journals (Sweden)

Full Text Available In this paper a fuel cell power plant design using phase locked loop method for paralleling a fuel cell with the global network is described. Despite the fact that synchronous systems for scattering generation sources like generators have been used in Iran’s plants, but there has been made fewer efforts in the case of plants based on fuel cell. In this paper an approach is presented for synchronization based on PLL that can reduce the response time to less than 2 seconds and time difference becomes zero in less than 3 seconds. Using the relay auto tuning algorithm in the closed loop system, the frequency fluctuations become less than 0.05% at the output. As in this approach, tuning is based on the DC voltage level, the induction property that makes the PID controller be unstable is reduced and we will have a very stable output wave. This is the main advantage of this controller. Presented control structure is made up of three loops, whichwe will reached frequency to reference frequency by use of first loop and in the next loop we do it’s phasecontrol whit take an integration of frequency, and in the frequencies difference less than 1 Hz. Presented control structure is made up of three loops. Using first loop, the frequency is reached near the reference value and in the next loop the phase is controlled by integration of the frequency, and in the frequency differences less than 1 Hz, the third loops does control frequency in independent way from the phase. Another advantage of this method is that the circuit remains in phase locked state when the phase has been synchronized, and there is no need to consider the time of connection to the network, and finally the output fluctuation is brought into zero. In this paper, it is also built an empirical example of digital synchronizer which is efficient in synchronizing distributed generation systems with the phase locked loop and will be described in detail in continuation.

Seyyed Zynolabedin Mousavi; Parviz Amiri; Seyyed Ahmad Hoseini

2012-01-01

356

Rich Reconstruction and particle identification using ring fit methods Standalone PID in the Rich2 detector  

CERN Multimedia

We have extended the ring fit algorithm presented in earlier works, in order to transform it into a fully standalone PID algorithm running over the full RICH2 momentum range. For this purpose, the full information provided by the tracking (track direction and momentum as well as their errors) is accounted for in the minimized chi squared function along with the photon information. Additionally, all available information concerning the Cerenkov light emission effect is accounted for in the PID algorithm. PID efficiencies and misidentification rates are found similar to the global ID results, while the statistical information is still much more reliable.

Benayoun, M; DelBuono, L; Gilles, G; Jones, C H

2006-01-01

357

Permanent Magnetic Synchronous Motor Control System Based on ADRC  

Directory of Open Access Journals (Sweden)

Full Text Available Permanent magnetic synchronous motor (PMSM) is a strong coupling and non-linear system. In the PMSM speed-regulation system, PID controller is the conventional one, it is difficult to decide the parameters of PID. Moreover, the performance of PID controller is not very well in large disturbance. In the paper, the Active Disturbance Rejection Controller (ADRC) is applied to the PMSM speed-regulation system. The result of simulations and experiments show that this algorithm has better anti-load-disturbance performance than PID controller.

Song Wang

2013-01-01

358

Reduce Energy Losses and THD in Buck Converter Using Control Algorithm  

Directory of Open Access Journals (Sweden)

Full Text Available The paper will focus on modeling, analysis, and design and simulation buck converter architecture. This architecture is used for automotive dual power system to reduce filters, dynamic response and power. The converter is designed in CCM (continuous conduction mode). The voltage mode control strategy is proposed by using pulse width modulation (PWM) with a proportional-integralderivative (PID). The effectiveness of the step down converter is verified through simulation results using control oriented simulator like MATLAB/Simulink tools.The proposed circuits operate at constant frequency and are regulated by conventional pulse width modulation (PWM) using dedicated PWM and PID control techniques. The circuit operation, mathematical analysis, designs and simulation results for continuous current mode (CCM) operation are mentioned in this paper.

Vipul C. Rajyaguru, Keerti S.Vashishtha, K. C. Dave

2012-01-01

359

Design of control rooms in U. K. nuclear power stations  

Energy Technology Data Exchange (ETDEWEB)

The development of the design of U.K. control room is described. The paper then lists the factors affecting the design of a recently commissioned control room including operator requirements, plant control requirements, and the problem of alarm presentation. The Hartlepool design is described and improvements being incorporated into current designs are discussed.

Hiorns, D.S.

1984-12-01

360

The Logic-Based Supervisor Control for Sun-Tracking System of 1 MW HCPV Demo Plant: Study Case  

Directory of Open Access Journals (Sweden)

Full Text Available This paper presents a logic-based supervisor controller designed for trackers for a 1MW HCPV demo plant in Taiwan. A sun position sensor on the tracker is used to detect the sun position, as the sensor is sensitive to the intensity of sun light. The signal output of the sensor is partially affected by the cloud, which has a hard control position with the traditional PID control. Therefore we have used logic-based supervisor (LBS) control which permits switching the PID control to sun trajectory under sunny or cloudy conditions. To verify the stability of the proposed control, an experiment was performed and the results show that the proposed control can efficiently achieve stabilization of the trackers of the 1MW HCPV demo plant.

Hong-Yih Yeh; Cheng-Dar Lee

2012-01-01

 
 
 
 
361

BWR control rod design using tabu search  

International Nuclear Information System (INIS)

[en] An optimization system to get control rod patterns (CRP) has been generated. This system is based on the tabu search technique (TS) and the control cell core heuristic rules. The system uses the 3-D simulator code CM-PRESTO and it has as objective function to get a specific axial power profile while satisfying the operational and safety thermal limits. The CRP design system is tested on a fixed fuel loading pattern (LP) to yield a feasible CRP that removes the thermal margin and satisfies the power constraints. Its performance in facilitating a power operation for two different axial power profiles is also demonstrated. Our CRP system is combined with a previous LP optimization system also based on the TS to solve the combined LP-CRP optimization problem. Effectiveness of the combined system is shown, by analyzing an actual BWR operating cycle. The results presented clearly indicate the successful implementation of the combined LP-CRP system and it demonstrates its optimization features

2005-01-01

362

Waterflooding strategy design using optimal control theory  

Energy Technology Data Exchange (ETDEWEB)

One of the main problems that arise when designing the development of an oil or a gas-oil field is to find the distribution of wells and to fix the hydrodynamical conditions on them such that the oil recovery can be maximized. In the context of this problem we consider the optimal control problem for three-phase, two-dimensional flow in porous medium. The unknown parameters, which are injection and production rates (as time functions), are found from the condition of maximum final oil recovery. The total volume of the three produced fluids is assumed to be limited. In other words, we seek the most intensive waterflooding system for which the minimum volume of water and gas production is spent on obtaining unit volume of oil. The stated optimal control problem is solved numerically by the method of successive linearization. Examples of optimal waterflooding strategy calculations for two/three-phase flows, one/two-dimensions, and homogeneous/heterogeneous reservoirs are presented. The results of calculations show that the generated waterflooding systems increase oil recovery as compared to the traditional ones. In some cases the recovery may increase up to 1.5 times. The larges oil recovery increase corresponds to the most difficult situation: three-phase flows and heterogeneous reservoirs, where waterflooding strategy is far from evident. 11 refs., 8 figs., 2 tabs.

Virnovsky, G.A. (All-Union Scientific Research Oil and Gas Inst., Moscow (USSR))

1991-01-01

363

Display design of function-based soft-controller  

International Nuclear Information System (INIS)

The VDU soft-controller is a control function installed in the SMART main control room. The displays are functionally designed based on the result of the function analysis, which is same as the CRT information display design. This paper describes the design of the soft-controller displays such as controller grouping, selection of operational information, and method of access to a specific controller, etc. The developed soft-controller can facilitate the access to any controller through functional grouping, compared to the conventional hardwired controller, and considerably reduce the operator's work load required for searching the related information.

1999-01-01

364

West Valley transfer cart control system design description  

Energy Technology Data Exchange (ETDEWEB)

Detail design of the control system for the West Valley Nuclear Services Vitrification Facility transfer cart has been completed by Oak Ridge National Laboratory. This report documents the requirements and describes the detail design of that equipment and control software. Copies of significant design documents including analysis and testing reports and design drawings are included in the Appendixes.

Bradley, E.C.; Crutcher, R.I.; Halliwell, J.W.; Hileman, M.S.; Moore, M.R.; Nodine, R.N.; Ruppel, F.R.; Vandermolen, R.I.

1993-01-01

365

Pampa III electronic nose: Control electronics design  

Scientific Electronic Library Online (English)

Full Text Available Abstract in spanish La nariz electrónica argentina PAMPA III es un dispositivo que trabaja con un sistema de medición basado en la utilización de doce sensores de gas de estado sólido, implementados con sensores de película delgada, depositados sobre un microcalefactor de tipo MEMS. Los sensores de estado sólido fueron diseñados y construidos en el Instituto LAMEL, CNR (Boloña, Italia), mientras que los sensores de película fina fueron obtenidos en la Argentina en las instituciones (more) que participan del convenio de cooperación CITEFA-CNEA-FI(UBA). En este trabajo, se presenta el principio de funcionamiento de los circuitos de control para los sensores de la nariz electrónica PAMPA III, poniendo especial énfasis en el criterio empleado para controlar la potencia entregada a los calefactores de cada uno de los sensores y el circuito de acondicionamiento de señal asociado con la película sensible propiamente dicha. La nariz electrónica permite programar, de forma muy flexible, los parámetros de funcionamiento, lo que se logra con una electrónica de control y programación asociada. Los parámetros a variar son: potencia de calefacción suministrada a cada sensor, tensión de polarización sobre cada película sensible, velocidad de aspiración de la microbomba, etc. Una de las características destacables del dispositivo es que el circuito de control de los sensores es del tipo de "resistencia constante". La nariz electrónica PAMPA III entrega todos los datos de sus mediciones a una computadora personal que se encarga del procesamiento estadístico, empleando el algoritmo de reconocimiento de patrones denominado Análisis de Componentes Principales (ACP). Abstract in english The Argentine electronic nose PAMPA III is an equipment operating with a measurement system based on a set of twelve solid state gas sensors implemented on thin films deposited on a MEMS (Micro-Electro-Mechanical Systems) type microheater. Solid state gas sensors were designed and built by the Institute LAMEL-CNR (Bologna, Italy) while the thin film sensors were made in Argentina in the frame of the cooperation project CITEFA-CNEA-FI (UBA). In this work, the operating pri (more) nciple of control drivers for PAMPA III sensors is reported, mainly considering the chosen criterion to control the power supplied to each sensor heater and the signal conditioning circuit related to the sensing film itself. The e-nose enables to program, in a flexible way, its functioning parameters, using control electronics and an associated software. Parameters to be changed are: heating power supplied to each sensor, bias voltage on each sensible film, velocity of the aspiration micropump etc. One of the main characteristics of the equipment is that the control circuits for sensors are of the "constant resistance" type. All measurements data of PAMPA III e-nose are supplied to a PC which performs the statistical processing, employing the pattern recognition algorithm of Principal Components Analysis (PCA).

Giménez, J. F; Gillari, C. A.; Valerio, D. F.; Gasulla, D. E.; Alaniz, L. T.; Lacomi, H. A.; Arrieta, C. L.

2005-07-01

366

The CANDU 9 distributed control system design process  

International Nuclear Information System (INIS)

[en] Canadian designed CANDU pressurized heavy water nuclear reactors have been world leaders in electrical power generation. The CANDU 9 project is AECL's next reactor design. Plant control for the CANDU 9 station design is performed by a distributed control system (DCS) as compared to centralized control computers, analog control devices and relay logic used in previous CANDU designs. The selection of a DCS as the platform to perform the process control functions and most of the data acquisition of the plant, is consistent with the evolutionary nature of the CANDU technology. The control strategies for the DCS control programs are based on previous CANDU designs but are implemented on a new hardware platform taking advantage of advances in computer technology. This paper describes the design process for developing the CANDU 9 DCS. Various design activities, prototyping and analyses have been undertaken in order to ensure a safe, functional, and cost-effective design. (author)

1997-01-01

367

The vibration control for cone type rotor-magnetic bearing system  

Energy Technology Data Exchange (ETDEWEB)

The cone-type AMB system consists of only 4 couples of magnets, and it can be smaller and lighter than radial-type AMB system. In this paper, the equations of motion on the cone-type AMB system are derived first, and the digital PID controllers are designed for its vibration control. The controllers are designed based on the decoupled equations of motion, and the performance of the designed controller is evaluated through its real system experiment. The results of the experiment show good performance of the controllers.

Yang, Seung Jun; Kwak, Byung Chul; Lee, Jae Eung [Chungang Univ., Seoul (Korea, Republic of); Seok, Chang Wook [Hyundai Motor Com., Seoul (Korea, Republic of)

2001-07-01

368

Control System Design for a Surface Cleaning Robot  

Digital Repository Infrastructure Vision for European Research (DRIVER)

This paper aims to study a control system for a surface cleaning robot and the focus of the study is the surface cleaning robot controller design. The structural framework of the propulsion control system of the surface robot is designed based on the principle of PWM speed control. The function of e...

Zhai Yuyi; Zhou Yu; Luo Huanxin; Liu Yunjia; Liu Liang

369

Robust control design verification using the modular modeling system  

Energy Technology Data Exchange (ETDEWEB)

The Modular Modeling System (B W MMS) is being used as a design tool to verify robust controller designs for improving power plant performance while also providing fault-accommodating capabilities. These controllers are designed based on optimal control theory and are thus model based controllers which are targeted for implementation in a computer based digital control environment. The MMS is being successfully used to verify that the controllers are tolerant of uncertainties between the plant model employed in the controller and the actual plant; i.e., that they are robust. The two areas in which the MMS is being used for this purpose is in the design of (1) a reactor power controller with improved reactor temperature response, and (2) the design of a multiple input multiple output (MIMO) robust fault-accommodating controller for a deaerator level and pressure control problem.

Edwards, R.M.; Ben-Abdennour, A.; Lee, K.Y.

1991-01-01

370

Robust control design verification using the modular modeling system  

International Nuclear Information System (INIS)

[en] The Modular Modeling System (B ampersand W MMS) is being used as a design tool to verify robust controller designs for improving power plant performance while also providing fault-accommodating capabilities. These controllers are designed based on optimal control theory and are thus model based controllers which are targeted for implementation in a computer based digital control environment. The MMS is being successfully used to verify that the controllers are tolerant of uncertainties between the plant model employed in the controller and the actual plant; i.e., that they are robust. The two areas in which the MMS is being used for this purpose is in the design of (1) a reactor power controller with improved reactor temperature response, and (2) the design of a multiple input multiple output (MIMO) robust fault-accommodating controller for a deaerator level and pressure control problem

1991-01-01

371

A software environment for gain scheduled controller design  

Directory of Open Access Journals (Sweden)

Full Text Available Recent theoretical developments have improved the understanding of gain scheduled control and suggested new methods for design, analysis and implementation of such nonlinear control systems. An integrated software environment for gain scheduled local controller network design and analysis, including computer-aided modelling and system identification, is described. Sonic background theory is included, and a speed control design problem for an experimental vehicle illustrates the application of the approach.

Tor A. Johansen; K. J. Hunt; H. Fritz

1998-01-01

372

Design of an integrated distribution control system  

Energy Technology Data Exchange (ETDEWEB)

In an effort to supply electric power at minimum cost, the electric utility industry continues to examine techniques that will allow the power system to operate more effectively and efficiently. In recent years, interest has developed in automated methods to facilitate the planning and operation of electric power systems. These techniques include the Supervisory Control and Data Acquisition system (SCADA) for distribution and transmission systems, centralized generation control and dispatch (Energy Management Systems), distribution automation and control, load control, and thermal energy storage. In general, each area has been approached as an independent entity. The intent of the Athens Automation and Control Experiment (AACE) is to integrate many of the new automation concepts into a single control system, to develop and implement various control strategies, and to quantify the benefits of these control strategies. Particular focus is placed on a distribution energy control center and its coordination with bulk power operations.

Purucker, S.L.; Reddoch, T.W.; Detwiler, J.S.; Monteen, L.D.

1984-01-01

373

Optimal Tracking Controller Design for a Small Scale Helicopter  

CERN Multimedia

A model helicopter is more difficult to control than its full scale counterparts. This is due to its greater sensitivity to control inputs and disturbances as well as higher bandwidth of dynamics. This works is focused on designing practical tracking controller for a small scale helicopter following predefined trajectories. A tracking controller based on optimal control theory is synthesized as part of the development of an autonomous helicopter. Some issues in regards to control constraints are addressed. The weighting between state tracking performance and control power expenditure is analyzed. Overall performance of the control design is evaluated based on its time domain histories of trajectories as well as control inputs.

Budiyono, Agus

2008-01-01

374

Designing an Improved Fuzzy Multi Controller  

Directory of Open Access Journals (Sweden)

Full Text Available Fluid level, pressure, temperature and flow control is a very common problem in the industry. Considering the advantages of fuzzy control systems instead of other conventional methods of control, in this paper a new approach using fuzzy logic to control the fluid level of biphasic (liquid and steam) fluid system, based on both temperature and pressure parameters presents. Simulations show that joining pressure changes parameter as third input of fuzzy controller, improves the efficiency of our control system and lead to more smooth changes in its output.

Saeed Barzideh; Arash Dana; Ahmad Ali Ashrafian; Gh.Sajedy Abkenar

2011-01-01

375

Regularization control on designing and constructing for HTR-10  

International Nuclear Information System (INIS)

[en] The author discusses on the necessity of carrying out regularization control in designing and constructing the 10 MW high temperature gas-cooled reactor (HTR-10), from the requirement of nuclear safety, of technical feasibility, of economical feasibility and accumulating developmental experiences. The author expounds taking some effective measures in the practice of carrying out regularization control on HTR-10. These measures include laying down design control procedures, working out HTR-10 design criteria according to current codes and standards, carrying on regularization design, regularization control of design documents and drawings, and according to quality assurance programs and procedures carrying on regularization control, for ensuring engineering progress and quality. It has universality for regularization control of nuclear engineering projects design and construction. The author also provides some beneficial use of reference for later nuclear engineering design and construction

1998-01-01

376

Integration of Design and Control Through Model Analysis  

DEFF Research Database (Denmark)

A systematic analysis of the process model is proposed as a pre-solution step for integration of design and control problems. It is shown that the same set of process (control) variables and design (manipulative) variables is employed with different objectives in design and control. Analysis of the phenomena models representing the process model identify the relationships between the important process and design variables, which help to understand, define and address some of the issues related to integration of design and control issues. The model analysis is highlighted through examples involving processes with mass and/or energy recycle. (C) 2000 Elsevier Science Ltd. All rights reserved.

Russel, Boris Mariboe; Henriksen, Jens Peter

2000-01-01

377

Control-based operating system design  

CERN Multimedia

This book argues that computer operating system components should be conceived from the outset as controllers, synthesised and assessed in the system-theoretical world of dynamic models, and then realised as control algorithms.

Leva, Alberto; Papadopoulos, AV; Terraneo, F

2013-01-01

378

Research of the Electro-hydraulic Servo System Based on RBF Fuzzy Neural Network Controller  

Directory of Open Access Journals (Sweden)

Full Text Available This article describes the composition and working principle of electro-hydraulic position servo control system, and establishes a systematic mathematical model. This article presents a controller which is based on Fuzzy neural networks for an electro-hydraulic speed governor. The design process of the RBF Fuzzy neural network control is introduced in detail. This controller which combines the advantages of the Fuzzy control and Neutral networks control can get the best PID parameters by self-adjustment on line. The simulation study proves that this control system has a better adaptability and can improve the control effect greatly.

Huaizhong Chen

2012-01-01

379

Design and implementation of low cost industrial control system  

International Nuclear Information System (INIS)

Applications of control systems in our industrial life have played a significant role to improve the quality of doing things. Major issues in the design of the control systems are to provide the autonomy, flexibility at low cost. This work is an effort to report a conceptual framework to develop industrial control system. Control systems designed with this framework are low cost and have flexibility to take decisions autonomously using fuzzy control discrete time event modeling integrated into it. (author)

2008-01-01

380

Conceptual design of HL-2M tokamak control system  

International Nuclear Information System (INIS)

The static architecture, dynamic behavior, control theory and simulation of HL-2M tokamak control system are described. The real-time network will be build for the communication of real-time control among its subsystems and universal timing system will be build to guarantee the synchronization among the subsystems. The duty to achieve preprogrammed parameters is carried out by plasma discharge control. In order to reduce the damage made by discharge exception, the error-handing mechanism of supervision system is considered. The controllers of magnetic control system are designed to control the current, shape and position of plasma and simulation system is designed for testing the controllers. (authors)

2009-01-01

 
 
 
 
381

FPGA Fuzzy Controller Design for Magnetic Ball Levitation  

Directory of Open Access Journals (Sweden)

Full Text Available this paper presents a fuzzy controller design for nonlinear system using FPGA. A magnetic levitation system is considered as a case study and the fuzzy controller is designed to keep a magnetic object suspended in the air counteracting the weight of the object. Fuzzy controller will be implemented using FPGA chip. The design will use a high-level programming language HDL for implementing the fuzzy logic controller using the Xfuzzy tools to implement the fuzzy logic controller into HDL code. This paper, advocates a novel approach to implement the fuzzy logic controller for magnetic ball levitation system by using FPGA.

Hosam Abu Elreesh; Basil Hamed

2012-01-01

382

Boiler-turbine control system design using a genetic algorithm  

Energy Technology Data Exchange (ETDEWEB)

This paper discusses the application of a genetic algorithm to control system design for a boiler-turbine plant. In particular the authors study the ability of the genetic algorithm to develop a proportional-integral (PI) controller and a state feedback controller for a non-linear multi-input/multi-output (MIMO) plant model. The plant model is presented along with a discussion of the inherent difficulties in such controller development. A sketch of the genetic algorithm (GA) is presented and its strategy as a method of control system design is discussed. Results are presented for two different control systems that have been designed with the genetic algorithm.

Dimeo, R.; Lee, K.Y. [Pennsylvania State Univ., University Park, PA (United States). Dept. of Electrical Engineering

1995-12-01

383

Multiple Steady States in Distillation: Interactions of Design and Control  

UK PubMed Central (United Kingdom)

Introduction. The Design Problem. Distillation ProcessMultiple Steady States (MSS)Motivation for ResearchPrediction MethodsInteractions of Design and ControlThesis OverviewThree PicturesChemist / Scientist:. innovates a new chemical synthesis route. formulates a laboratory recipeChemical / Design Engineer:. turns the recipe into an industrial plant. mainly considers steady--state, economical andecological aspectsElectrical / Control Engineer:. configures the process for operation. considers process dynamics and safetySource: Bayer AGSource: Sulzer Chemtech AGThe Control Engineer:ThreePerspectives(ofmany):DesignProblemChemical EngineerControl EngineerScientist ChemistDesignProblemTheDesignTeamDesignEng.(Chem.Eng.)ControlEng.(El.Eng.)Scienti

Thomas E. Guttinger

384

A fuzzy logic controller application for thermal power plants  

Energy Technology Data Exchange (ETDEWEB)

This study presents a fuzzy logic based control technique to regulate the power and enthalpy outputs in a boiler of a 765MW coal fired thermal power plant. An approximate mathematical model of the thermal power plant was developed by using real time data on Computer Aided Design and Control (CADACS) software. Conventional proportional, integral and derivative (PID), fuzzy logic (FL) and fuzzy gain scheduled proportional and integral (FGPI) controllers have been applied to the power plant model. The simulation results show that the FGPI controller developed in this study performs better than the rest of the controllers on the settling time and overshoot of power and enthalpy outputs. (author)

Kocaarslan, Ilhan; Cam, Ertugrul; Tiryaki, Hasan [Kirukkale University, Yahsihan, Kirukkale (Turkey). Faculty of Engineering

2006-03-01

385

A fuzzy logic controller application for thermal power plants  

International Nuclear Information System (INIS)

This study presents a fuzzy logic based control technique to regulate the power and enthalpy outputs in a boiler of a 765 MW coal fired thermal power plant. An approximate mathematical model of the thermal power plant was developed by using real time data on Computer Aided Design and Control (CADACS) software. Conventional proportional, integral and derivative (PID), fuzzy logic (FL) and fuzzy gain scheduled proportional and integral (FGPI) controllers have been applied to the power plant model. The simulation results show that the FGPI controller developed in this study performs better than the rest of the controllers on the settling time and overshoot of power and enthalpy outputs

2006-01-01

386

Modeling a Controller for an Articulated Robotic Arm  

Directory of Open Access Journals (Sweden)

Full Text Available The precise control upon each degree of freedom of a robotic arm is a great challenge in implementing industrial work. This paper aims to design a novel controller for an automated robotic arm. A discrete Proportional Integral Derivative (PID) control technique is being used to replace the complex electronic circuitry, which would greatly reduce the cost and size of the controller. DC motors will be controlled on the basis of Closed-loop System using an avr (Atmega 16/32) microcontroller. Transfer functions have been derived for mathematical modeling of the system through which the stability of the system can be evaluated prior to fabrication.

Rajeev Agrawal; Ko