Study on Adaptive PID Control Algorithm Based on RBF Neural Network

Aim at the limitation of traditional PID controller has certain limitation, the traditionalPID control is often difficult to obtain satisfactory control performance, and the RBF neural networkis difficult to meet the requirement ofreal-time control system.To overcome it, an adaptive PID control strategy based on (RBF) neural network isproposed in this paper. The resultsshow that the proposed controller is practical and effective, because of the adaptability, strong robustness and satisfactory controlperformance.It is also revealed from simulation results that the proposed control algorithm is valid for DC motor and also provides the theoretical and experimental basis