Title :
The PID prediction control system using particle swarm optimization and genetic algorithms
Author :
Li, Guo-Dong ; Wang, Chen-Hong ; Masuda, Shiro ; Yamaguchi, Daisuke ; Nagai, Masatake
Author_Institution :
Dept. of Syst. Design, Tokyo Metropolitan Univ., Hino, Japan
Abstract :
In this paper, the particle swarm optimization (PSO) algorithm and genetic algorithm (GA) are employed to optimize the parameters of PID algorithm in order to improve the performance of PID control system. Moreover, we propose the grey model based on grey system theory to combine with PID control to establish the PID prediction control system. The proposed control system can realize the accurate control in realtime. Finally, we validated the effectiveness of the proposed control system by computer simulation.
Keywords :
genetic algorithms; grey systems; particle swarm optimisation; predictive control; three-term control; PID prediction control; genetic algorithm; grey model; grey system theory; particle swarm optimization; Cities and towns; Computer simulation; Control system synthesis; Control systems; Genetic algorithms; Industrial control; Iterative algorithms; Particle swarm optimization; Predictive models; Three-term control;
Conference_Titel :
Grey Systems and Intelligent Services, 2009. GSIS 2009. IEEE International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4914-9
Electronic_ISBN :
978-1-4244-4916-3
DOI :
10.1109/GSIS.2009.5408225
