Research on the adaptive PID control algorithm based on RBF neural network
Dong Yang1, Xing Zhao2
COMPUTER MODELLING & NEW TECHNOLOGIES 2013 17(5A) 58-62
1Mechanical and Electrical Engineering Institute of Jiangsu JianZhu Institute, Xuzhou, Jiangsu, 221116, China
2China Petroleum Chemical Corporation Pipeline Transportation and Storage Company, Xuzhou, Jiangsu, 221116, China
Aim at the limitation of traditional PID controller has certain limitation, the traditional PID control is often difficult to obtain satis-factory control performance, and the RBF neural network is difficult to meet the requirement of real-time control system. To over-come it, an adaptive PID control strategy based on (RBF) neural network is proposed in this paper. The results show that the propo-sed controller is practical and effective, because of the adaptability, strong robustness and satisfactory control performance. 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.