2014Advances in intelligent systems research/Advances in Intelligent Systems ResearchOpen access

Design and Simulation of a PID Controller Based on Fuzzy Control

Chenbin Wu, Haiming Li, Lei Wu

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Abstract

According to the fuzzy control theory, the paper describes the principle and feature of the fuzzy control by fuzzy control having strong robustness in allusion to the control system which has the characteristics of pure hysteresis and unprecise parameter time-variance and model.On this basis, it conducts the design and algorithm of the fuzzy controller.And it emulates the related project content by the use of Simulink software package of MATLAB in order to test and verify the availability of the project.Besides, in this paper, in order to deal with the delay lag link, deviation and deviation change rate are taken as inputs, a fuzzy inference method is utilized to optimize the traditional PID control, and the controller is designed and simulated with MATLAB.Good control performance can be acquired from the simulation result, the fuzzy PID controller improves the dynamic and static performance of the system.Combining the fuzzy control and PID control together can get their good qualities, which also has good practical significance and research value.

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What this paper is about

According to the fuzzy control theory, the paper describes the principle and feature of the fuzzy control by fuzzy control having strong robustness in allusion to the control system which has the characteristics of pure hysteresis and unprecise parameter time-variance and model.On this basis, it conducts the design and algorithm of the fuzzy controller.And it emulates the related project content by the use of Simulink software package of MATLAB in order to test and verify the availability of the project.Besides, in this paper, in order to deal with the delay lag link, deviation and deviation change rate are taken as inputs, a fuzzy inference method is utilized to optimize the traditional PID control, and the controller is designed and simulated with MATLAB.Good control performance can be acquired from the simulation result, the fuzzy PID controller improves the dynamic and static performance of the system.Combining the fuzzy control and PID control together can get their good qualities, which also has good practical significance and research value.

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Available abstract

According to the fuzzy control theory, the paper describes the principle and feature of the fuzzy control by fuzzy control having strong robustness in allusion to the control system which has the characteristics of pure hysteresis and unprecise parameter time-variance and model.On this basis, it conducts the design and algorithm of the fuzzy controller.And it emulates the related project content by the use of Simulink software package of MATLAB in order to test and verify the availability of the project.Besides, in this paper, in order to deal with the delay lag link, deviation and deviation change rate are taken as inputs, a fuzzy inference method is utilized to optimize the traditional PID control, and the controller is designed and simulated with MATLAB.Good control performance can be acquired from the simulation result, the fuzzy PID controller improves the dynamic and static performance of the system.Combining the fuzzy control and PID control together can get their good qualities, which also has good practical significance and research value.

Key concepts: PID controller, Control theory (sociology), Fuzzy control system, Computer science, Control engineering, Controller (irrigation), Fuzzy logic, Control (management)

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