Due to the problems of nonlinearity, large hysteresis, time variation, and difficulty in accurate modeling of heat pump heating systems, the traditional PID control effect that lacks flexibility and adaptability is not ideal. To solve this problem, a fuzzy self-tuning PID control algorithm combining fuzzy control and PID is proposed, which dynamically adjusts the parameters of the PID controller according to the running state of the system to achieve ideal control. The experimental results show that the overshoot of the temperature curve of the control system based on the fuzzy PID algorithm is 4.39% smaller than that of the PID algorithm, and the steady-state error is also reduced by 0.55%. The response speed is also faster than PID control, and the fast, accurate, and stable control of room temperature is realized.

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Research on Heat Pump Temperature Control System Based on Fuzzy PID Algorithm

  • Tengfei Zhang,
  • Zhenkui Wu

摘要

Due to the problems of nonlinearity, large hysteresis, time variation, and difficulty in accurate modeling of heat pump heating systems, the traditional PID control effect that lacks flexibility and adaptability is not ideal. To solve this problem, a fuzzy self-tuning PID control algorithm combining fuzzy control and PID is proposed, which dynamically adjusts the parameters of the PID controller according to the running state of the system to achieve ideal control. The experimental results show that the overshoot of the temperature curve of the control system based on the fuzzy PID algorithm is 4.39% smaller than that of the PID algorithm, and the steady-state error is also reduced by 0.55%. The response speed is also faster than PID control, and the fast, accurate, and stable control of room temperature is realized.