PID Neural Network Control Research Based on Fuzzy Neural Network Model

A kind of PID neural network control on the basis of fuzzy neural network model is proposed in this paper, which combines the fuzzy neural network model with the PID neural network. PID neural network weight is tuned online by using fuzzy neural network model and gradient descent method, and the proposed method is applied to the bed temperature control of CFB boilers. The simulation results show that the proposed controller produces better effects than traditional controllers in both steady performance and dynamic performance , including shorter steady-state time , non-overshot, nonoscillator, higher dynamic tracking rate , etc.