Research and simulation on PID control method for Brushless DC Motor based on genetic algorithm and BP neural network

This article use the Brushless DC Motor as the plant, to compare the genetic algorithm back propagation neural network PID controller with the traditional PID controller. It proves that adopting genetic algorithm optimization back propagation neural network PID controller to determine the PID parameters has made the kinetic characteristic and the robustness of the system much better.