Title :
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
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;
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
DOI :
10.1109/CCDC.2008.4597896
