2011Microcomputer InformationRequires access

Self-adaptive Fuzzy PID Control System and its Computer Simulation based on Matlab

Gao Yi

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Abstract

In this paper,a kind of parameter self-adaptive fuzzy PID control system is discussed,it uses Frizzy logic controller which is combined with PID controller and the organic combination of Fuzzy Toolbox and SIMLTLINK that makes the parameter's self-adaption of PID controller possible.It perfects the properties of PID controller and improves the precision of control system.Simulation showed the validity of the arithmetic.The simulation results show the powerful capacity of the SIMULINK in the dynamic simulation of control obviously,and the proposed method using MATLAB is more convenient and effective than any other simulation methods.

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What this paper is about

In this paper,a kind of parameter self-adaptive fuzzy PID control system is discussed,it uses Frizzy logic controller which is combined with PID controller and the organic combination of Fuzzy Toolbox and SIMLTLINK that makes the parameter's self-adaption of PID controller possible.It perfects the properties of PID controller and improves the precision of control system.Simulation showed the validity of the arithmetic.The simulation results show the powerful capacity of the SIMULINK in the dynamic simulation of control obviously,and the proposed method using MATLAB is more convenient and effective than any other simulation methods.

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Available abstract

In this paper,a kind of parameter self-adaptive fuzzy PID control system is discussed,it uses Frizzy logic controller which is combined with PID controller and the organic combination of Fuzzy Toolbox and SIMLTLINK that makes the parameter's self-adaption of PID controller possible.It perfects the properties of PID controller and improves the precision of control system.Simulation showed the validity of the arithmetic.The simulation results show the powerful capacity of the SIMULINK in the dynamic simulation of control obviously,and the proposed method using MATLAB is more convenient and effective than any other simulation methods.

Key concepts: PID controller, Computer science, MATLAB, Control theory (sociology), Toolbox, Fuzzy logic, Controller (irrigation), Control engineering

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