Abstract: Accurate control of indoor temperature and humidity is essential to enhance human comfort. Aiming at the problem that it is difficult to maintain the temperature and humidity of household inverter air conditioners, proposes a cooperative control strategy for temperature and humidity. On the basis of the original indoor temperature PID control compressor frequency, superimpose the PI control increment of indoor humidity and increase the weight of dehumidifi cation; the speed of the internal fan adopts incremental PID control and adaptively adjusts the control coeffi cients according to the indoor temperature diff erence to realize the stepless adjustment of speed to control the indoor temperature and humidity. By building the air conditioning sensible latent heat neural network model and room load model simulation verifi cation, and experimental testing on the whole machine. The results show that, compared with the traditional temperature control only strategy, this cooperative control method can eff ectively suppress humidity rebound while maintaining the set temperature accuracy, stably control the indoor humidity in the comfort zone (40%~60%), and signifi cantly improve the comfort regulation eff ect of the air conditioner.

Key words: Temperature and humidity control, Room load modeling, PID control, Soft decoupling control