Title :
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
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;
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
DOI :
10.1109/CCDC.2009.5195144
