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Design and Simulation of A Fuzzy PID Controller Based on Matlab

Zhao Yong-juan

Open publisher page 8 citations

Abstract

In this paper,error and error change are taken as inputs,a fuzzy inference method is utilized to realize automatic regulat- ing PID parameters,and the controller is designed and simulated with MATLAB.The result of simulation indicates that fuzzy PID controller with self-adjusting parameters is superior to traditional PID controller and it can improve the dynamic and static properties of the control system.This mixing system combines with convenience of PID control and flexibleness and robustness of fuzzy control. It makes good use of respective advantages of traditional control and fuzzy control,and has a strong practical significance and a high reference value for further applications.

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What this paper is about

In this paper,error and error change are taken as inputs,a fuzzy inference method is utilized to realize automatic regulat- ing PID parameters,and the controller is designed and simulated with MATLAB.The result of simulation indicates that fuzzy PID controller with self-adjusting parameters is superior to traditional PID controller and it can improve the dynamic and static properties of the control system.This mixing system combines with convenience of PID control and flexibleness and robustness of fuzzy control. It makes good use of respective advantages of traditional control and fuzzy control,and has a strong practical significance and a high reference value for further applications.

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OpenAlex reports 8 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In this paper,error and error change are taken as inputs,a fuzzy inference method is utilized to realize automatic regulat- ing PID parameters,and the controller is designed and simulated with MATLAB.The result of simulation indicates that fuzzy PID controller with self-adjusting parameters is superior to traditional PID controller and it can improve the dynamic and static properties of the control system.This mixing system combines with convenience of PID control and flexibleness and robustness of fuzzy control. It makes good use of respective advantages of traditional control and fuzzy control,and has a strong practical significance and a high reference value for further applications.

Key concepts: PID controller, Computer science, MATLAB, Robustness (evolution), Control theory (sociology), Fuzzy logic, Fuzzy control system, Control engineering

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