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

Author

Fang, Hongqing ; Chen, Long ; Wang, Wancheng

Author_Institution

Coll. of Electr. Eng., Hohai Univ., Nanjing

fYear

2008

fDate

2-4 July 2008

Firstpage

3100

Lastpage

3104

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.

Keywords

optimal control; particle swarm optimisation; three-term control; PID controller; constriction factor approach; digital simulation; dynamic particle swarm optimization algorithm; inertia weight approach; optimal parameter variant; optimal proportional-integral-derivative gain; stable convergence characteristic; Optimal control; Three-term control; Upper bound; Velocity control; PID controller; digital simulation; particle swarm optimization; swarm intelligence;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference, 2008. CCDC 2008. Chinese

Conference_Location

Yantai, Shandong

Print_ISBN

978-1-4244-1733-9

Electronic_ISBN

978-1-4244-1734-6

Type

conf

DOI

10.1109/CCDC.2008.4597896

Filename

4597896