2007Mechanical Engineering & AutomationRequires access

Study on Nonlinear Control System Based on PID Controller with Fuzzy Self-adjusting

Song‐Lin Huang

Open publisher page 1 citations

Abstract

Aiming at the problem that conventional PID controller can't adjust parameters itself on line,the self-adjusting PID controller is built.Using fuzzy control rule,the three parameters of PID controller can be adjusted adaptively on line,and a simulation of this model is realized successfully with MATLAB.The result of simulation proposed that the controller can eliminate steady state error of system and improves the performance of ordinary fuzzy controller.It possesses both the precise character of PID controller and flexible advantage of fuzzy controller,and can guarantee that the regulation system has good dynamic and static quality.

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What this paper is about

Aiming at the problem that conventional PID controller can't adjust parameters itself on line,the self-adjusting PID controller is built.Using fuzzy control rule,the three parameters of PID controller can be adjusted adaptively on line,and a simulation of this model is realized successfully with MATLAB.The result of simulation proposed that the controller can eliminate steady state error of system and improves the performance of ordinary fuzzy controller.It possesses both the precise character of PID controller and flexible advantage of fuzzy controller,and can guarantee that the regulation system has good dynamic and static quality.

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Available abstract

Aiming at the problem that conventional PID controller can't adjust parameters itself on line,the self-adjusting PID controller is built.Using fuzzy control rule,the three parameters of PID controller can be adjusted adaptively on line,and a simulation of this model is realized successfully with MATLAB.The result of simulation proposed that the controller can eliminate steady state error of system and improves the performance of ordinary fuzzy controller.It possesses both the precise character of PID controller and flexible advantage of fuzzy controller,and can guarantee that the regulation system has good dynamic and static quality.

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

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