Research and application of compound control based on RBF neural network and PID

It is difficult to get classic PID controller¿s precise paramerers, and PID control method is based on the precise mathematical model, it¿s adaptiveability is poor. PID control method is not adaptive to nonlinear and time-variant plants. It is impossible to insure the accuracy of the system. A method of compound control based on RBF neural network and PID is stated in this paper. This method is applied in the simulation research of DC Motor speed regulation system. This method can be used to solve the problem of bad robustness and prerequisite condition that precise mathematical models must be known in advance for the traditional PID control method. Simulation results indicate that the system robustness and tracking performance are superior to those of the tradition PID control method.