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2006•Jisuanji fangzhenRequires access

Application of Fuzzy-PID Control in Central Air-conditioning System

Wang Xianlai

Open publisher page 4 citations

Abstract

A design method about fuzzy PID is presented for optimizing parameters using Nonlinear Control Design Blockset based on MATLAB,and fuzzy logical toolbox and MATLAB function are used together to implement the computer simulation of the Central Air-conditioning System.To deal with the non-linearity,a method for optimizing the weighting factor α and the output scaling gain Ku is adopted in the applied ruled-adjustable fuzzy controller.The simulation result shows that this method improves the performance of the control system.Furthermore the control system which uses the fuzzy PID controller has better performance than the traditional PID control.

About this research paper

What this paper is about

A design method about fuzzy PID is presented for optimizing parameters using Nonlinear Control Design Blockset based on MATLAB,and fuzzy logical toolbox and MATLAB function are used together to implement the computer simulation of the Central Air-conditioning System.To deal with the non-linearity,a method for optimizing the weighting factor α and the output scaling gain Ku is adopted in the applied ruled-adjustable fuzzy controller.The simulation result shows that this method improves the performance of the control system.Furthermore the control system which uses the fuzzy PID controller has better performance than the traditional PID control.

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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

A design method about fuzzy PID is presented for optimizing parameters using Nonlinear Control Design Blockset based on MATLAB,and fuzzy logical toolbox and MATLAB function are used together to implement the computer simulation of the Central Air-conditioning System.To deal with the non-linearity,a method for optimizing the weighting factor α and the output scaling gain Ku is adopted in the applied ruled-adjustable fuzzy controller.The simulation result shows that this method improves the performance of the control system.Furthermore the control system which uses the fuzzy PID controller has better performance than the traditional PID control.

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

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