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2009•Computer and ModernizationRequires access

Tuning of PID Controller Parameters Based on Improved Particle Swarm Optimization Algorithm

Deqiang Wang

Open publisher page 1 citations

Abstract

Particle Swarm Optimization(PSO) has been a novel global optimization algorithm which is based on swarm intelligence.It is easy to be realized and already applied to many fields.In order to reform the problem of PID controller parameters,this paper presents a novel improved PSO algorithm,the three parameters of PID controller are optimized by this algorithm.The structure of controller is simple and the simulation result proves that this controller is feasible and effectual.

About this research paper

What this paper is about

Particle Swarm Optimization(PSO) has been a novel global optimization algorithm which is based on swarm intelligence.It is easy to be realized and already applied to many fields.In order to reform the problem of PID controller parameters,this paper presents a novel improved PSO algorithm,the three parameters of PID controller are optimized by this algorithm.The structure of controller is simple and the simulation result proves that this controller is feasible and effectual.

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OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Available abstract

Particle Swarm Optimization(PSO) has been a novel global optimization algorithm which is based on swarm intelligence.It is easy to be realized and already applied to many fields.In order to reform the problem of PID controller parameters,this paper presents a novel improved PSO algorithm,the three parameters of PID controller are optimized by this algorithm.The structure of controller is simple and the simulation result proves that this controller is feasible and effectual.

Key concepts: Particle swarm optimization, PID controller, Computer science, Controller (irrigation), Control theory (sociology), Algorithm, Swarm intelligence, Multi-swarm optimization

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