The PID Controller Based on the Artificial Neural Network and the Differential Evolution Algorithm

The conventional PID (proportional-integralderivative) controller is widely applied to industrial automation and process control field because its structure is sample and its robust is well, but it do not work well for nonlinear system, time-delayed linear system and timevarying system. This paper provides a new style of PID controller that is based on artificial neural network and evolutionary algorithm according to the conventional one’s mathematical formula. The artificial neural network (ANN) is used to approach PID formula and the differential evolution algorithm (DEA) is used to search weight of the artificial neural network. This new controller is proven better control effect in the simulation test. This new controller has more advantages than the conventional one, such as less calculated load, faster global convergence speed, better robust, more independence and adaptability on the plant and independent of human intervention and expert experiences etc.