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Optimization Design and Simulation of Fuzzy Control System Based on MATLAB

Gong Xiao-hong

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Abstract

The method of design and simulation using Matlab is presented in this paper.Especially,to improve performance of fuzzy control system,three kinds of major methods of optimization design and simulation of fuzzy control system are discussed,via combining fuzzy logic toolbox with Simulink seamlessly.First,fuzzy logic inferential system is established by using toolbox of fuzzy logic in Matlab 6.5.Then,in Simulink5.0,through the instance of the template of S-function,the module of S-function for optimizing fuzzy control and corresponding control model are constructed,and the parameters of simulation are set.Finally,the dynamic simulation of the system is implemented.

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What this paper is about

The method of design and simulation using Matlab is presented in this paper.Especially,to improve performance of fuzzy control system,three kinds of major methods of optimization design and simulation of fuzzy control system are discussed,via combining fuzzy logic toolbox with Simulink seamlessly.First,fuzzy logic inferential system is established by using toolbox of fuzzy logic in Matlab 6.5.Then,in Simulink5.0,through the instance of the template of S-function,the module of S-function for optimizing fuzzy control and corresponding control model are constructed,and the parameters of simulation are set.Finally,the dynamic simulation of the system is implemented.

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Available abstract

The method of design and simulation using Matlab is presented in this paper.Especially,to improve performance of fuzzy control system,three kinds of major methods of optimization design and simulation of fuzzy control system are discussed,via combining fuzzy logic toolbox with Simulink seamlessly.First,fuzzy logic inferential system is established by using toolbox of fuzzy logic in Matlab 6.5.Then,in Simulink5.0,through the instance of the template of S-function,the module of S-function for optimizing fuzzy control and corresponding control model are constructed,and the parameters of simulation are set.Finally,the dynamic simulation of the system is implemented.

Key concepts: MATLAB, Toolbox, Fuzzy logic, Computer science, Fuzzy control system, Fuzzy electronics, Control engineering, Adaptive neuro fuzzy inference system

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