Title :
Comparison between PSO and GA for Parameters Optimization of PID Controller
Author :
Ou, Chao ; Lin, Weixing
Author_Institution :
Fac. of Inf. Sci. & Technol., NingBo Univ.
Abstract :
Based on the conception of evolution, the particle swarm optimization (PSO) algorithm and genetic algorithm (GA) are applied to parameters optimization of PID controller. Simulations are carried out in the typical industrial models. Comparing PSO with GA, it is shown that the performance of PSO is better than that of GA, it is provided that a preferable method to optimization parameters of PID controller
Keywords :
control system synthesis; genetic algorithms; optimal control; particle swarm optimisation; three-term control; PID control; genetic algorithm; parameters optimization; particle swarm optimization; Adaptive control; Control systems; Convergence; Evolution (biology); Genetic algorithms; Industrial control; Information science; Particle swarm optimization; Robust control; Three-term control; Genetic Algorithm; PID controller; Particle swarm optimization Algorithm; parameters optimization;
Conference_Titel :
Mechatronics and Automation, Proceedings of the 2006 IEEE International Conference on
Conference_Location :
Luoyang, Henan
Print_ISBN :
1-4244-0465-7
Electronic_ISBN :
1-4244-0466-5
DOI :
10.1109/ICMA.2006.257739
