Optimal control of heating furnace temperature based on fuzzy PID control with improved genetic algorithm

Heating furnace is an important heating equipment in the modern industrial field, is a nonlinear, time-varying, hysteresis and strong coupling of the controlled object, the traditional PID control and fuzzy control theory based on fuzzy control of the rectification of the PID control method in the temperature control of the adaptability of the poor, the effect is not ideal. Based on the improvement of genetic algorithms of fuzzy PID control and the simulation comparison with the conventional PID, fuzzy PID, and achieve a better control effect.