Intelligent temperature control system of quench furnace

来源期刊：中国有色金属学报(英文版)2004年第4期

论文作者：胡燕瑜 桂卫华 唐朝辉 唐玲

文章页码：807 - 810

Key words：fuzzy-neural networks; MIMO system; genetic algorithm

Abstract: A fuzzy-neural networks intelligent temperature control system of quench furnace was presented. Combined genetic algorithm with back-propagation algorithm, the weight values of neural networks, parameters of fuzzy membership functions and inference rules can be adjusted automatically, which realizes the optimal control of temperature. The results show that this control system can run effectively with satisfied temperature precision: in temperature uprising stage, overshot of temperature is under 4℃; in stable stage, the scope of temperature change is controlled within±2℃, which meets the need of control veracity of temperature.

基金信息：the National Basic Research and Development Program of China