Study on Adaptive PID Control Algorithm Based on RBF Neural Netwoik

With the problems of slow convergence and "local minimum", BP neural network is difficult to meet the requirement of real-time control system. To overcome it, An adaptive PID control strategy based on Radial Basis Function (RBF) neural network is studied in this paper. The design of neural network adaptive PID controller is introduced, the PID parameters on-line adjustment algorithm of RBF neural network is illustrated and the simulation based on single inverted pendulum system is completed. The results show that the proposed controller is practical and effective, because of the adaptability, strong robustness and satisfactory control performance.