DocumentCode
1926480
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
Volume
2
fYear
2007
fDate
19-22 Aug. 2007
Firstpage
1014
Lastpage
1017
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICMLC.2007.4370291
Filename
4370291
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