Research of Fuzzy PID Control Based on VHDL

2013 ◽  
Vol 416-417 ◽  
pp. 885-889
Author(s):  
Xue Song Wang
Keyword(s):  
Fuzzy Control ◽  
Pid Control ◽  
Control Algorithm ◽  
Fuzzy Controller ◽  
Controller Design ◽  
Design Method ◽  
Operating Experience ◽  
Fuzzy Pid Control ◽  
Self Tuning ◽  
Controlled Object

This paper describes the use of VHDL and fuzzy controller design process.Compared with conventional PID control, fuzzy control is not dependent on the accurate mathematical model of the controlled object. The implementation of integrated practical operating experience and the operation is simple, fast response, anti-interference ability, strong robustness parameters of controlled object. In response to the limitations of the traditional PID control algorithm in the control field, the fuzzy control theory with the traditional PID control algorithm by combining the parameters self-tuning function, the proposed fuzzy self-tuning PID controller design method and algorithm-depth study analysis.

Research on Self-Tuning Fuzzy PID Control Strategy of Metallurgy Furnace Temperature

2012 ◽  
Vol 472-475 ◽  
pp. 3063-3066
Author(s):  
Rong Luo ◽  
Lun Wei Chen ◽  
Hong Bo Ren ◽  
Cheng Yu Liu
Keyword(s):  
Fuzzy Control ◽  
Pid Control ◽  
Control Algorithm ◽  
Control Method ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Furnace Temperature ◽  
Advantages And Disadvantages ◽  
Self Tuning ◽  
Concrete Control

Aim at the effect of the control method in traditional metallurgy furnace temperature is not good, a self-tuning fuzzy PID control method combining fuzzy control with PID control was proposed in this paper based on the analysis of the advantages and disadvantages of the PID control and fuzzy control method, and a concrete control algorithm was put forward and simulation experiment was finished. The simulation results show that the effect of the controller is good, and the control of system is fast and smoothly according to it.

Simulation Research of Wind Power Rotate Speed Based on Cloud Model of Fuzzy Reasoning PID Control

2013 ◽  
Vol 816-817 ◽  
pp. 857-861
Author(s):  
You Jun Yue ◽  
Yue Xu ◽  
Hui Zhao ◽  
Hong Jun Wang
Keyword(s):  
Wind Speed ◽  
Fuzzy Control ◽  
Wind Power ◽  
Pid Control ◽  
Fuzzy Controller ◽  
Cloud Model ◽  
Fuzzy Reasoning ◽  
Fuzzy Pid Control ◽  
Simulation Research ◽  
Speed Change

When wind turbine works under rated wind speed, we often use fuzzy controller to control rotate speed and keep the best sharp blade speed to achieve the aim of capture the largest wind power. Due to the nonlinearity of wind power, the uncertainty of timely change and other factors, though fuzzy PID control is the combination of fuzzy control and PID control, which can solve the problem of nonlinear very well, it focuses only on the fuzziness, and fails to consider the random error brought by wind speed change. Therefore this paper designed fuzzy reasoning PID controller based on cloud model on the base of analyzing parameters of wind power and advantage as well as shortage of both PID control and fuzzy control. Then start the RT-LAB simulation platform. The simulation result proved that this method can effectively depress the overshoot. And its stability and dynamic speed response is better than PID control and fuzzy control. It achieved ideal result.

Application of Fuzzy PID Control in Sluice Control

2012 ◽  
Vol 241-244 ◽  
pp. 1248-1254
Author(s):  
Feng Chen Huang ◽  
Hui Feng ◽  
Zhen Li Ma ◽  
Xin Hui Yin ◽  
Xue Wen Wu
Keyword(s):  
Fuzzy Control ◽  
Pid Control ◽  
Information Integration ◽  
Pid Controller ◽  
Fuzzy Pid ◽  
Proportional Integral Derivative ◽  
Fuzzy Pid Control ◽  
Tuning Method ◽  
Fuzzy Pid Controller ◽  
Self Tuning

Fuzzy control, based on traditional Proportional-Integral-Derivative (PID) control, is used to improve the management of a hydro-junction’s sluice scheduling. In this study, we combined the PID and Fuzzy control theories and determined the PID parameters of the fuzzy self-tuning method of a hydro-junction’s sluice. A fuzzy self-tuning PID controller and its algorithm were designed. In hydro-junction sluice control, the Fuzzy PID controller can modify PID parameters in real-time, resulting in a more dynamic response. The application of the fuzzy self-tuning PID controller in the CiHuai River project information integration system yielded very good results.

Self-Tuning Fuzzy Controller Design for a Switched Reluctance Motor Drive System

2013 ◽  
Vol 418 ◽  
pp. 100-103
Author(s):  
Shun Yuan Wang ◽  
Chwan Lu Tseng ◽  
Shou Chuang Lin ◽  
Jen Hsiang Chou ◽  
Yu Wen Chen ◽  
...  
Keyword(s):  
Fuzzy Control ◽  
Control Theory ◽  
Fuzzy Controller ◽  
Controller Design ◽  
Switched Reluctance Motor ◽  
Drive System ◽  
Electromagnetic Torque ◽  
Switched Reluctance ◽  
Reluctance Motor ◽  
Self Tuning

This study adopts the fuzzy control theory to design a self-tuning fuzzy controller (STFC), which allows adjustment to overcome the controller design difficulty caused by switched reluctance motor (SRM) nonlinearity. Based on the torque sharing function (TSF), the proposed STFC was implanted into an SRM direct torque control (DTC) drive system to develop a system with superior speed and electromagnetic torque dynamic responses. In addition, the control strategy possessed excellent electromagnetic torque response, and effectively improved the dynamic response of the system. Keywords: fuzzy control theory, switched reluctance motor (SRM), torque sharing strategy.

The Controller Design for DC Motor Speed System Based on Improved Fuzzy PID

2012 ◽  
Vol 466-467 ◽  
pp. 1246-1250 ◽  
Author(s):  
Bin Ma ◽  
Qing Bin Meng ◽  
Feng Yu ◽  
Zhong Hua Han ◽  
Chang Tao Wang
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Control Algorithm ◽  
Controller Design ◽  
Fast Response ◽  
Dc Motor ◽  
Fuzzy Pid ◽  
Motor Speed ◽  
Fuzzy Pid Control ◽  
Fuzzy Control Algorithm

In this paper, a controller is designed based on improved fuzzy PID to solve the problem that the dc motor performance of speed and dynamic is poor when using the conventional PID controller for the lack of adaptive capacity of the controller parameters. The improved fuzzy control algorithm is used for the tuning of PID controller to get good speed performances, which automatically adjust the parameter of PID controller according to the motor speed. The simulation results show that the improved fuzzy PID control with the advantages of fast response, small overshoot and strong anti-interference capability can effectively improve the dynamic characteristics and steady state accuracy.

Electric Pitch Control System Based on Fuzzy Control with Variable Region

2012 ◽  
Vol 229-231 ◽  
pp. 2352-2356 ◽  
Author(s):  
Hai Ying Dong ◽  
Zhan Hong Wei ◽  
Xiang Gui Zhao ◽  
Xiao Qing Li
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Pid Control ◽  
Fuzzy Controller ◽  
Design Method ◽  
Variable Region ◽  
Expansion Factor ◽  
Pitch Control ◽  
Variable Universe ◽  
Variable Universe Fuzzy Control

Electric pitch control system has time-varying, nonlinear, large inertia, wind speed uncertainty characteristics. A fuzzy control design method of electric pitch control system based on variable universe is proposed. In this method, the variable region algorithm is applied to the speed control of the electric pitch control system. The adaptive fuzzy controller with variable universe of the speed loop for the electric pitch control system is designed by adopting optimized proportional exponential contraction-expansion factor and using S-Function. The simulation experiment of electric pitch control system is carried on, which builds the fuzzy controller with variable region. Compared with traditional PID control, the results show that electric pitch control system based on variable universe fuzzy control has the strong anti-interference performance and robustness.

Base on Fuzzy Control of Grid Power Control of VRB Energy Storage System of Wind Farm

2012 ◽  
Vol 220-223 ◽  
pp. 793-798 ◽  
Author(s):  
Shan Bai ◽  
En Yong Yi ◽  
Xing Jia Yao ◽  
Ying Ming Liu
Keyword(s):  
Energy Storage ◽  
Fuzzy Control ◽  
Wind Power ◽  
Pid Control ◽  
Control Algorithm ◽  
Wind Farm ◽  
Current Loop ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Outer Loop

With the development of wind power technology in recent years, wind power technology has made rapid development. In this paper, the wind farm is the main object of study, the energy storage elements is vanadium redox flow battery (VRB), the use of decoupling control of fuzzy PID control algorithm for real-time changes in PID parameters of the active and reactive power. The outer loop of motor side rectifier is power loop, the inner is current loop. The outer loop of grid side inverter is the voltage loop, the inner is current loop, and based on vector control, the rectifier and inverter achieve decoupling process.The traditional PID is poor in anti-interference ability and robustness,so this paper uses the fuzzy PID control algorithm. The MATLAB/simulation results show that the fuzzy control algorithm can achieve power tracking control,and has strong robustness.

scholarly journals Study on Hybrid Fuzzy Controller Design by Model Reduction Method

2018 ◽  
Vol 7 (3.34) ◽  
pp. 558
Author(s):  
Joon Ho Cho ◽  
. .
Keyword(s):  
Genetic Algorithm ◽  
Fuzzy Control ◽  
Performance Index ◽  
Delay Time ◽  
Pid Controller ◽  
Control Parameter ◽  
Fuzzy Controller ◽  
Controller Design ◽  
Design Method ◽  
Reduced Model

Background/Objectives: In this paper, we proposed an improved model shrinking method and a hybrid-smith prediction fuzzy control design using a reduced model.Methods/Statistical analysis: The method of model reduction is based on Nyquist curve of frequency response, and the reduced model is obtained by considering the response of the transient state and the response of the steady state to the method. The proposed hybrid-smith prediction fuzzy controller tuning method was able to obtain the parameter value by utilizing a reduced model and using a genetic algorithm.Findings: The optimum PID controller design method using the reduced model applied a reduced model and a Smith prediction structure that compensates for the delay time in order to improve the control performance, and as a result, in order to minimize the performance index ITAE value I was able to design a controller. Here, the value of the control parameter was used by combining a method of directly obtaining the reduced model and a method of using the genetic algorithm by numerical analysis. In conclusion, the design method of the hybrid-smith Fuzzy control is a method of controlling by combining the PID controller, the Smith prediction compensating the delay time and the fuzzy controller in parallel, the value of the PID control parameter is optimized using the reduced model The value of the PID parameter was determined. The conversion coefficients (GE, GD, GH, GC) of Fuzzy control were obtained by applying genetic algorithm.Improvements/Applications: In the proposed method, it is possible to obtain directly the value of the parameter of the optimum PID controller and the value of the Smith prediction by using the reduced model, and the part of the Fuzzy conversion coefficient can be obtained by using the genetic algorithm , The ITAE performance index improved more than the conventional method.  

scholarly journals Application of a New Membership Function in Nonlinear Fuzzy PID Controllers with Variable Gains

2014 ◽  
Vol 2014 ◽  
pp. 1-7
Author(s):  
Xuda Zhang ◽  
Hong Bao ◽  
Jingli Du ◽  
Congsi Wang
Keyword(s):  
Fuzzy Control ◽  
Control Theory ◽  
Membership Function ◽  
Pid Control ◽  
Control Algorithm ◽  
Pid Controllers ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Adjustable Range

This paper proposes a nonlinear fuzzy PID control algorithm, whose membership function (MF) is adjustable, is universal, and has a wide adjustable range. Appling this function to fuzzy control theory will increase system’s tunability. The continuity of this function is proved. This method was employed in the simulation and HIL experiments. Effectiveness and feasibility of this function are demonstrated in the results.

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