A novel fuzzy pid neural model control method

Abstract

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 boiller produces better effects than traditional controlers in both steady-state time, non-overshot, non- oscillator, higher dynamic tracking rate, etc.