PID Neural Network Based Predictive Fuzzy Control Research

Aiming to get the control feature of large delay system like ships, designing a 2-rank derivative multi-step neural network predictive model and the algorithm, and presenting a fuzzy control scheme based on the model with PID Neural Network and fuzzy CMAC controller, we solve the problems of model online identification and controller online design in traditional adaptive control, so that the high precision output fellow-up control of systems with large delay and uncertain nonlinear features can be realized. Simulation results show that the method has perfect control effect.