Title :
The optimization of PI controller parameters using genetic algorithm in the DC speed control system
Author :
Wang, Jing ; Zhao, Yuanyuan
Author_Institution :
Inf. Eng. Sch., Beijing Univ. of Sci. & Technol., China
Abstract :
Given the change of characteristic parameters of the control object, deterioration will result in the dynamic response qualities of the main drive system of a hot finishing mill. This paper studies the optimization of PI parameters, which is adjusted by the improved iterative genetic algorithm, of the speed controller in a two-loop DC speed control system. The digital simulation results show the efficiency and rationality of the algorithm
Keywords :
DC motor drives; angular velocity control; dynamic response; genetic algorithms; hot rolling; iterative methods; optimal control; process control; two-term control; DC motor drive; PI controller; dynamic response; genetic algorithm; hot finishing mill; iterative method; optimization; process control; speed control; Control systems; Digital simulation; Finishing; Genetic algorithms; Genetic engineering; Genetic mutations; Milling machines; Optimization methods; Sampling methods; Velocity control;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.860028
