Comparison of PSO algorithm and its variants to optimal parameters of PID controller

Hongqing Fang Hongqing Fang,Long Chen Long Chen,Wancheng Wang Wancheng Wang

doi:10.1109/ccdc.2008.4597896

Comparison of PSO algorithm and its variants to optimal parameters of PID controller

Hongqing Fang Hongqing Fang, Long Chen Long Chen + Show 1 more

https://doi.org/10.1109/ccdc.2008.4597896

Copy DOI

Publication Date: Jul 1, 2008

Citations: 3

Affiliation: Hohai University

#Particle Swarm Optimization #Optimal Parameters Of Proportional-integral-derivative Controller + Show 8 more

Abstract
Full-Text PDF
Similar Papers

Abstract

In this paper, the comparison of particle swarm optimization (PSO) algorithm and its variants to optimal proportional-integral-derivative (PID) gains are presented. In addition to basic PSO (BPSO), many variants such as inertia weight approach (IWA), constriction factor approach (CFA) and dynamic PSO (DPSO) are applied respectively, and then the test results are investigated and their performances are evaluated. The digital simulation results show that PSO and its variants have stable convergence characteristic and good computational ability for optimal PID gains.

Full Text