2003Jisuanji fangzhenRequires access

The Computer Simulation of the Control System Based on Fuzzy Logic Toolbox

Hongjun Liu

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Abstract

This article presents a design method about fuzzy PID control. The met hod can be divided two steps: firstly, build the fuzzy turning rules by simulati on and analysis, and obtain the parameters of PID controller by reasoning, then the control effect can be determined by the PID control laws. In this article, f uzzy logical toolbox and MATLAB function are used together to implement the comp uter simulation of steam temperature control system. The simulation results show that this method improve the performance of the control system and can be easil y carried out ; furthermore the control system which uses the fuzzy PID contro ller has better performance than that of the traditional PID control system.

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What this paper is about

This article presents a design method about fuzzy PID control. The met hod can be divided two steps: firstly, build the fuzzy turning rules by simulati on and analysis, and obtain the parameters of PID controller by reasoning, then the control effect can be determined by the PID control laws. In this article, f uzzy logical toolbox and MATLAB function are used together to implement the comp uter simulation of steam temperature control system. The simulation results show that this method improve the performance of the control system and can be easil y carried out ; furthermore the control system which uses the fuzzy PID contro ller has better performance than that of the traditional PID control system.

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Available abstract

This article presents a design method about fuzzy PID control. The met hod can be divided two steps: firstly, build the fuzzy turning rules by simulati on and analysis, and obtain the parameters of PID controller by reasoning, then the control effect can be determined by the PID control laws. In this article, f uzzy logical toolbox and MATLAB function are used together to implement the comp uter simulation of steam temperature control system. The simulation results show that this method improve the performance of the control system and can be easil y carried out ; furthermore the control system which uses the fuzzy PID contro ller has better performance than that of the traditional PID control system.

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

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