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2013•Applied Mechanics and MaterialsOpen access

Comparative Study on Fuzzy PID Controller and Conventional PID Controller

Huan Cheng, Dao Sheng Zhang, Cheng Li

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Abstract

PID controller is simple, stable and reliable. But the controller parameters cannot adjust themselves when the object varies. To solve the problem, this paper combined fuzzy control and PID controller, realized self-adjustment of PID parameters using fuzzy reasoning method, analysed the advantages over the traditional PID controller. The simulation was researched by Matlab and the results show that fuzzy PID controller has advantages of higher accuracy, faster response and less overshoot.

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What this paper is about

PID controller is simple, stable and reliable. But the controller parameters cannot adjust themselves when the object varies. To solve the problem, this paper combined fuzzy control and PID controller, realized self-adjustment of PID parameters using fuzzy reasoning method, analysed the advantages over the traditional PID controller. The simulation was researched by Matlab and the results show that fuzzy PID controller has advantages of higher accuracy, faster response and less overshoot.

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

PID controller is simple, stable and reliable. But the controller parameters cannot adjust themselves when the object varies. To solve the problem, this paper combined fuzzy control and PID controller, realized self-adjustment of PID parameters using fuzzy reasoning method, analysed the advantages over the traditional PID controller. The simulation was researched by Matlab and the results show that fuzzy PID controller has advantages of higher accuracy, faster response and less overshoot.

Key concepts: PID controller, Control theory (sociology), Overshoot (microwave communication), MATLAB, Controller (irrigation), Fuzzy logic, Open-loop controller, Control engineering

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