Title :
Evolutionary design of PID controller for twin rotor multi-input multi-output system
Author :
Wang, Wei-Yen ; Lee, Tsu-Tian ; Huang, Hung-Chih
Author_Institution :
Dept. of Electron. Eng., Fu-Jen Catholic Univ., Taipei, Taiwan
Abstract :
In this paper, a framework to automatically generate a set of parameters of PID (proportional, integral and derivative) controllers for the twin rotor multi-input multi-output system (TRMS) by using a simplified genetic algorithm (GA) is proposed. The simplified GA is proposed for tuning the PID parameters. The sequential search method is used to find the desired crossover point for the crossover operation. Finally, the optimal PID parameters are applied to the TRMS. Simulation results and experimental verification are demonstrated to show the effectiveness and performance of the proposed method.
Keywords :
MIMO systems; control system synthesis; genetic algorithms; intelligent control; optimal control; three-term control; PID controller; PID parameters tuning; crossover point; evolutionary algorithm; evolutionary design; genetic algorithm; optimal PID parameters; sequential search method; simulation results; twin rotor multi-input multi-output system; Automatic control; Automatic generation control; Control systems; Genetic algorithms; PD control; Pi control; Proportional control; Rotors; Three-term control; Transmission line measurements;
Conference_Titel :
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN :
0-7803-7268-9
DOI :
10.1109/WCICA.2002.1020708
