Simulation and Algorithm Optimization of VAV Air Conditioning Room Temperature Model

With the rapid development of intelligent buildings, the research and development of VAV air-conditioning systems have become the focus of attention. This article mainly studies the temperature control loop of the VAV air-conditioning room, and optimizes the control effect of the temperature control loop of the air-conditioning room by combining intelligent algorithm and PID control. At the same time, a fuzzy PID controller is designed. Fuzzy PID control is added to the temperature control loop of the air-conditioning room. Matlab/Simulink is used for modeling and simulation. The experimental results show that the fuzzy PID control effectively improves the stability of the indoor temperature. The resulting maximum dynamic deviation is smaller, the adjustment time is shorter, and the interference resistance is better, which has certain theoretical significance for improving the comfort of the VAV system air-conditioned room.