自适应神经模糊控制器及其在炉温控制系统中的应用

Adaptive Neuro-Fuzzy Controller and Its Application to the Furnace Temperature Control System

将自适应模糊控制技术与神经网络技术相结合 ,提出了一种自适应神经模糊控制器的实现方法 ,并用一种改进的快速BP算法来训练网络。该方法和算法用于炉温控制系统 ,获得了满意的控制效果 。

This paper combines adaptive fuzzy control with neural networks,proposes a implementation method of adaptive neuro-fuzzy controllers,and trains the networks using improved fast BP algorithm proposed by us.By applying the method and algorithm to furnace temperature control system,we got satis factory control effect.This shows that the method and the algorithm are effective.