Title :
Optimal Genetic Algorithm for the Nonlinear PID Controller
Author :
Jiang, Yu ; Gao, Hong-you ; Yu, Shao-peng ; Luan, Xiu-chun
Author_Institution :
Harbin Eng. Univ., Harbin
Abstract :
Nonlinear relations exist in the gain parameters of PID controller and deviation signals. The nonlinear functions fitting the parameters can adjust every part of PID respectively. The adjusting laws on control and errors are presented, and also, nonlinear functions for the gain parameters are given. GA (genetic algorithm) is adopted to optimize and construct the nonlinear PID controller. Simulations show that the controller can attend both the dynamic and static performances of the system.
Keywords :
genetic algorithms; nonlinear control systems; optimal control; three-term control; deviation signal; nonlinear PID controller; optimal genetic algorithm; Communication system control; Control systems; Cybernetics; Genetic algorithms; Genetic engineering; Machine learning; Nonlinear dynamical systems; Optimal control; Proportional control; Three-term control; GA (genetic algorithm); Gain parameters; Nonlinear PID controller; Optimal parameters;
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
DOI :
10.1109/ICMLC.2007.4370291
