2007•Computer Technology and DevelopmentRequires access

A Nonlinear PID Controller Based on Particle Swarm Tuning Algorithm

Lei Wu

Open publisher page 1 citations

Abstract

The relationship between the error signal and gain parameters of PID controller is nonlinear,the ideal varying process of the individual tuning each part of PID controller concerning error can be analyzed.In this article,it is described that based on the tuning law between the control and error,and formulating the nonlinear function of each gain parameter,the nonlinear PID controller is constructed.Based on the characteristic of particle swarm optimization(PSO) algorithm searching the parameter space concurrently and efficiently,this controller can be optimized by adopting PSO.The simulation results show that the algorithms are effective and the designed controller has excellent performance.

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What this paper is about

The relationship between the error signal and gain parameters of PID controller is nonlinear,the ideal varying process of the individual tuning each part of PID controller concerning error can be analyzed.In this article,it is described that based on the tuning law between the control and error,and formulating the nonlinear function of each gain parameter,the nonlinear PID controller is constructed.Based on the characteristic of particle swarm optimization(PSO) algorithm searching the parameter space concurrently and efficiently,this controller can be optimized by adopting PSO.The simulation results show that the algorithms are effective and the designed controller has excellent performance.

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Available abstract

The relationship between the error signal and gain parameters of PID controller is nonlinear,the ideal varying process of the individual tuning each part of PID controller concerning error can be analyzed.In this article,it is described that based on the tuning law between the control and error,and formulating the nonlinear function of each gain parameter,the nonlinear PID controller is constructed.Based on the characteristic of particle swarm optimization(PSO) algorithm searching the parameter space concurrently and efficiently,this controller can be optimized by adopting PSO.The simulation results show that the algorithms are effective and the designed controller has excellent performance.

Key concepts: PID controller, Particle swarm optimization, Control theory (sociology), Computer science, Nonlinear system, Controller (irrigation), Process (computing), Algorithm

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