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Research on temperature control of heating furnace with intelligent proportional integral derivate control algorithm

Zheng Feilong (Key Laboratory of Metallurgical Equipment and Control Technology (Wuhan University of Science and Technology), Ministry of Education, Hubei Province, Wuhan, China + Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering (Wuhan Unive)
Lu Yundan (Key Laboratory of Metallurgical Equipment and Control Technology (Wuhan University of Science and Technology), Ministry of Education, Hubei Province, Wuhan, China + Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering (Wuhan Unive)
Fu Shuguang (Beijing Institute of Space Launch Technology, Beijing, China)

In view of the problems of large overshoot and large oscillation frequency in cur¬rent furnace temperature control, based on the development of intelligent control theory, expert control, fuzzy control, and neural network control in intelligent control theory are combined with proportional integral derivative (PID) control. The intelligent PID control algorithm is used to carry out numerical simulation and experimental research on these several control algorithms. The results show that the adjustment effect of the intelligent PID control algorithm is significantly better than the traditional PID control algorithm. Among them, the fuzzy self-tuning PID control algorithm and the fuzzy immune PID control algorithm are feasible in the application of furnace temperature control. The neural network PID control algorithm It also has good development and application potential.

Keywords: PID control algorithm, heating furnace, temperature control system, single chip microcomputer