基于卡尔曼滤波的模糊PID热处理温度控制系统的设计

Aiming at the problems of hysteresis, overshoot, easy interference and slow response of temperature control in the heat treatment process of aerospace complex casting parts, a fuzzy PID (proportional-integral-derivative) temperature control method based on Kalman filter was proposed. Particle swarm optimization (PSO) was used to optimize the parameters of PID controller, and Kalman filter was also used to filter the measurement noise. Finally, the fuzzy strategy was used to realize the rapid response and overshoot control of temperature control. Through the research of fuzzy PID control, fuzzy rules were analyzed and fuzzy reasoning was carried out. According to the requirements of heat treatment process temperature control and its reasoning rules, selecting the most suitable control factor, through the simulation comparison with MATLAB software, it is proved that the accuracy of the designed heat treatment temperature control system is greatly improved, the robustness of the system is better, the response speed is obviously improved, the overshoot is reduced, the adjustment time is shortened, and the interference is also strongly inhibited.