The Study Of Intelligent Temperature-controlling System In Central Heating Mode

The territory of our country is vast, south to the tropics, north to cold temperaturezone. The average temperature of winter in the north is about ten degrees below zero, sothe northern people commonly need heating in winter. Although indoor heating has a longhistory in China and can meet the demand in winter, but there are still a disadvantage:How to adjust the temperature of the heating system. Especially in some places, the lackof efficient control of the room temperature will cause many adverse effects. In centralheating mode, for a specific room temperature adjustment, it is necessary to know thatwhat the relationship is between the various physical quantities associated with the indoortemperature. In this paper, by using the principle of the thermology and thermal energybalance formula, a relatively accurate mathematical model of indoor temperature wasestablished, which has laid the foundation for further research of indoor temperaturecontrol. And the indoor temperature is a control object with large delay characteristic,therefore the differential pole assignment self-tuning internal model control algorithm,DMC predictive control algorithm and Fuzzy PID-Smith control algorithm have beenadopted to solve the problem of indoor temperature control. In the process of analysis, thecontrol effects of four kinds of algorithms have been simulated by Simulink. Based on theoutput waveforms, these different control strategies have been compared in the aspects ofstability and dynamic performance. After comparing these control algorithms, accordingto the actual need, the hardware selection and interface circuit of the indoor temperaturecontrol system were designed, which provide hardware basis of the algorithm realization.