Optimal Genetic Algorithm for the Nonlinear PID Controller
- Resource Type
- Conference
- Authors
- Jiang, Yu; Gao, Hong-You; Yu, Shao-Peng; Luan, Xiu-Chun
- Source
- 2007 International Conference on Machine Learning and Cybernetics Machine Learning and Cybernetics, 2007 International Conference on. 2:1014-1017 Aug, 2007
- Subject
- Computing and Processing
Robotics and Control Systems
Genetic algorithms
Three-term control
Optimal control
Control systems
Proportional control
Communication system control
Genetic engineering
Nonlinear dynamical systems
Machine learning
Cybernetics
Nonlinear PID controller
Gain parameters
GA (genetic algorithm)
Optimal parameters
- Language
- ISSN
- 2160-133X
2160-1348
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.