Intelligent temperature control system of quench furnace

摘要

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.