2009Mechanical Engineering & AutomationRequires access

Simulation and Design of Numeral Fuzzy PID Controller System

Yin Yun-hua

Open publisher page 1 citations

Abstract

Traditional PID controller suffers a problem that it can't regulate parameters automatically and has some use limitations.In this paper,based on PID controller and taking error and error change as inputs,a fuzzy reasoning method is utilized to realize automatic regulation of PID parameters,and the controller in some two-rank delay system is designed and simulated with MATLAB.The result of simulation indicates that the adaptive fuzzy PID controller is superior to traditional PID controller and it can improve the dynamic and static properties of the control system.This mixing system combines convenience of PID control with flexibleness and robustness of 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

Traditional PID controller suffers a problem that it can't regulate parameters automatically and has some use limitations.In this paper,based on PID controller and taking error and error change as inputs,a fuzzy reasoning method is utilized to realize automatic regulation of PID parameters,and the controller in some two-rank delay system is designed and simulated with MATLAB.The result of simulation indicates that the adaptive fuzzy PID controller is superior to traditional PID controller and it can improve the dynamic and static properties of the control system.This mixing system combines convenience of PID control with flexibleness and robustness of fuzzy control,and has a strong practical significance and a high reference value for further applications.

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Available abstract

Traditional PID controller suffers a problem that it can't regulate parameters automatically and has some use limitations.In this paper,based on PID controller and taking error and error change as inputs,a fuzzy reasoning method is utilized to realize automatic regulation of PID parameters,and the controller in some two-rank delay system is designed and simulated with MATLAB.The result of simulation indicates that the adaptive fuzzy PID controller is superior to traditional PID controller and it can improve the dynamic and static properties of the control system.This mixing system combines convenience of PID control with flexibleness and robustness of fuzzy control,and has a strong practical significance and a high reference value for further applications.

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

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