Research of Adaptive PID Controller Based on Genetic Algorithm

Aiming at the turning issue of PID control in industrial processes, a strategy of applying variable PID parameters was presented. This paper utilized the characteristic that genetic algorithm can rapidly optimize globally, performance indexes can form corresponding fitness functions through real number encoding of parameters of the controller, and best parameters of the controller can be obtained through adopting self-adaptive mutation rate for repeated genetic manipulation. Simulation results show that the method improves the optimal performance of parameters, and can achieve better dynamics performance and control effect.