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2009•Computer Engineering and Applications JournalRequires access

Application of expert-fuzzy PID control method for large-lag system

Hong Zhang

Open publisher page 1 citations

Abstract

In order to solve the control problem of large-lag system,this paper designs expert-fuzzy adaptive PID controller.In this controller,there are the characteristics that high accuracy,stability,good robustness of fuzzy PID controller,and a fast stable state controller feature of the expert controller.The simulation results of double-capacity and large-lag system show that the dynamic performance with expert-fuzzy PID controller is better than that with a separate fuzzy adaptive PID controller,and the method makes process quickly enter the steady state.

About this research paper

What this paper is about

In order to solve the control problem of large-lag system,this paper designs expert-fuzzy adaptive PID controller.In this controller,there are the characteristics that high accuracy,stability,good robustness of fuzzy PID controller,and a fast stable state controller feature of the expert controller.The simulation results of double-capacity and large-lag system show that the dynamic performance with expert-fuzzy PID controller is better than that with a separate fuzzy adaptive PID controller,and the method makes process quickly enter the steady state.

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Available abstract

In order to solve the control problem of large-lag system,this paper designs expert-fuzzy adaptive PID controller.In this controller,there are the characteristics that high accuracy,stability,good robustness of fuzzy PID controller,and a fast stable state controller feature of the expert controller.The simulation results of double-capacity and large-lag system show that the dynamic performance with expert-fuzzy PID controller is better than that with a separate fuzzy adaptive PID controller,and the method makes process quickly enter the steady state.

Key concepts: PID controller, Control theory (sociology), Computer science, Robustness (evolution), Lag, Fuzzy logic, Fuzzy control system, Control engineering

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