Research On Terminal Control And Optimization Of Vav Air Conditioning System Based On PMV

Air conditioning system is the main tool that people use to adjust the indoor temperature in daily life.Because the air conditioning system is a complex nonlinear system,thus to control the often can not achieve very good effect,both energy-saving and comfort can achieve satisfactory state,this topic to apply thermal comfort index control of air conditioning system,realize the transfer of the air conditioning control point,transferring them to the human body itself,make air conditioning more human,and embodies the concept of "human-oriented".This paper takes PMV as the theoretical basis and prediction index,analyzes the six parameter variables affecting the results,and finally decides to change the prediction effect of PMV by controlling the temperature and air supply volume,which provides a theoretical basis for determining the control variables of the system.Since air conditioning is a strongly coupled system,this paper firstly decoupled and optimized the temperature and humidity of air conditioning.Due to the large amount of work and complex process of PMV index calculation.In VAV,degeneration and the disadvantage of lag,in view of the PMV prediction model,and puts forward the fuzzy PID control as the thermal comfort control algorithm and the optimized,through MATLAB simulation platform building,air terminal thermal comfort control model is established,and the simulation results and compares with the traditional temperature control of energy-saving test,which verifies the energy saving of the terminal predictive control system with PMV as the prediction index.