2010Industrial Instrumentation & AutomationRequires access

Tuning of PID parameters based on improved particle swarm optimization algorithm

Ping Li

Open publisher page 0 citations

Abstract

Particle swarm optimization algorithm is a global optimization technique.The algorithm is simple for implement and excellent for application.PID control is used widely in many kinds of industry circumstance for its simple algorithm,high reliability and good robustness.This thesis proposed one kind improved PSO algorithm,based on the analysis of the basic PSO algorithm,succeeding to raise its convergence rate and the optimization precision.Furthermore,the provided method was proved feasible by its application to the PID controller parameter installation and was of better superiority through the MATLAB simulation.

About this research paper

What this paper is about

Particle swarm optimization algorithm is a global optimization technique.The algorithm is simple for implement and excellent for application.PID control is used widely in many kinds of industry circumstance for its simple algorithm,high reliability and good robustness.This thesis proposed one kind improved PSO algorithm,based on the analysis of the basic PSO algorithm,succeeding to raise its convergence rate and the optimization precision.Furthermore,the provided method was proved feasible by its application to the PID controller parameter installation and was of better superiority through the MATLAB simulation.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Particle swarm optimization algorithm is a global optimization technique.The algorithm is simple for implement and excellent for application.PID control is used widely in many kinds of industry circumstance for its simple algorithm,high reliability and good robustness.This thesis proposed one kind improved PSO algorithm,based on the analysis of the basic PSO algorithm,succeeding to raise its convergence rate and the optimization precision.Furthermore,the provided method was proved feasible by its application to the PID controller parameter installation and was of better superiority through the MATLAB simulation.

Key concepts: PID controller, Particle swarm optimization, Robustness (evolution), Multi-swarm optimization, MATLAB, Meta-optimization, Computer science, Algorithm

Related papers

Back to paper searchBrowse research topicsOriginal source
Tuning of PID parameters based on improved particle swarm optimization algorithm — Research Paper | ScholarLens