Residential Comfort Control For Typical Temperate Climate Regions In Summer

With China’s rapid development of economic and expansion of the urbanization, urban residents cost an increasing time indoors. At the same time, the popularity of air conditioning systems cause the reduction of indoor fresh air and contribute to indoor air pollution. But resident take arbitrary measures to fell cool, especially arbitrary settings indoor air conditioning temperature. Therefore, establish a viable control scheme of residential thermal comfort and air comfort not only can improve residential indoor environmental comfort, but also can protect the health of residents.In order to fully understand the characteristics of typical temperate regions and the subjective comfort of local residents,use the questionnaire to do some survey and collect some useful data of the local residents. Use the PMV formula to simulate the change of human thermal comfort degree when we change the each factor, find out the temperature indoors is the most main factors which affect the local indoor thermal comfort. Use the regression equation we find the local thermal neutral temperature is 27.5℃ which based on the data of the survey we got. Determine the main factors which affect the local residents indoor air comfort is the concentration of carbon dioxide.In this article, builds up the indoor temperature model and carbon dioxide model by mechanism modeling. Design a control loop and a fuzzy controller though Matlab, contrast the results of the PID controller and fuzzy logic PID controller when the system have a disturbing signal or not. Simulation results demonstrate that the fuzzy logic PID controller can reduce the setting time, makes the system has little overshoot, shot transition time and a good robustness, therefore, it better meet the indoor comfort control.