Design of heat pump temperature control system based on particle swarm optimization fuzzy PID

Abstract

The mathematical model of the temperature control system of air source heat pump is established by collecting experimental data. Due to the time-varying, nonlinear and pure hysteresis characteristics of the temperature control system, on the basis of fuzzy PID control, MATLAB is used to design a two-dimension adaptive fuzzy PID controller based on particle swarm optimization. By optimizing each parameter of the system, the water flow of the system can be well controlled and the temperature effect of the control heat pump system can be optimized and improved. Finally, the stability verification is carried out, that is, after the system is stable, the pulse interference signal is suddenly added to cause interference to the system Observe the stabilizing effect of the system The simulation results show that the fuzzy PID based on PSO not only combines the advantages of fuzzy control and PID control, but also optimizes the scale factor and quantization factor to reduce randomness. The resulting optimization curve has almost no overshoot, rise and adjustment time is effectively shortened, and response The speed becomes faster, and the robustness and anti-interference performance of the heat pump system are improved.