Application of an enhanced PSO algorithm to optimal tuning of PID gains

Author

Fang, Hongqing ; Chen, Long

Author_Institution

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

fYear

2009

fDate

17-19 June 2009

Firstpage

35

Lastpage

39

Abstract

In this paper, an enhanced particle swarm optimization algorithm with more information and other PSO variants were applied to optimal tuning of Proportional-Integral-Derivative (PID) parameters for a typical PID control system. The digital simulation results show the enhanced PSO algorithm has stable convergence characteristic and good computational ability, and it is an effective method for optimal tuning of PID gains.

Keywords

control system synthesis; optimal control; particle swarm optimisation; three-term control; PID control system; PID gains optimal tuning; enhanced PSO algorithm; enhanced particle swarm optimization algorithm; proportional-integral-derivative parameters; Control systems; Convergence; Digital simulation; Educational institutions; Electronic mail; Hydraulic turbines; Laplace equations; Optimal control; Particle swarm optimization; Three-term control; PID gains; artificial intelligence; computer simulation; optimal tuning; particle swarm optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference, 2009. CCDC '09. Chinese

Conference_Location

Guilin

Print_ISBN

978-1-4244-2722-2

Electronic_ISBN

978-1-4244-2723-9

Type

conf

DOI

10.1109/CCDC.2009.5195144

Filename

5195144