关键词: Matlab, 模糊PID, 温度控制, 烘干房

Abstract:  To solve the problem of the long time required for the traditional drying and disinfection of pig transport vehicles, the design of the car drying room, exchange of heat & gas, and controlling the indoor temperature to reach the target temperature have become a key issue. Aiming at the outstanding characteristics of temperature control, such as large inertia and hysteresis, an adaptive fuzzy control algorithm of fuzzy PID is proposed. The algorithm is based on empirical fuzzy control rules to optimize the PID coefficient tuning parameters Kp, Ki, and Kd in realtime and effectively improves the control system. According to the conclusion, it can be seen that the maximum temperature difference between the actual temperature of fuzzy PID control and the target temperature is 2.5 ℃, and the overshoot is 3.5%. While the maximum temperature difference between the traditional PID and the target temperature is 5.1 ℃, and the overshoot is 7.1%. Compared to the traditional PID control, the fuzzy PID has a smaller overshoot, and the response speed is very fast when interfered with by the outside world.

Key words: Matlab, fuzzy PID, temperature control, drying room