Abstract: What makes the temperature control of the annealing furnace difficult is the variation of process parameters, the high nonlinearity, heavy noise and the large time delay of the process. In this paper, the applications of fuzzy control theory to the annealing control is reported. A modified fuzzy controller structure which has faster response and higher accuracy is used to control the temperature and the pressure of the furnace. And a fuzzy self-optimal controller with the aid of fuzzy sets theory is used to regulate the fuel/air ratio to keep a rational combustion. The operation run shows that the fuzzy control system can overcome the above difficulties, and the result is satisfactory.