Research on PID controller based on RBF neural network

RBF neural network is a kind of feedforward neural network with good performance, which is proposed based on the brain´s neurons to external reaction and it has the capability of strong nonlinear mapping, it can with arbitrary precision approaches a nonlinear function global, it has the advantage of simple structure, fast learning etc. Neural network with arbitrary nonlinear expression ability can realize the best PID control by system performance study, by RBF network, the self-learning PID controller can been built with parameters Kp, Ki, Kd, the simulation results show that the system has good dynamic and static performance.