Optimal Genetic Algorithm for the Nonlinear PID Controller

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.