| Along with living standards improving, more and more intelligent buildings come to truth. As an import part of intelligent buildings, air-conditioning system abstracts people's more attention. This thesis chiefly studies the temperature control system by way of simulation, including routine PID control, fuzzy control and adaptive parameters control.It is well known that the dynamic performance of a Heating, Ventilation and Air Conditioning (HVAC) system has great impact on power and energy consumption, as well as on indoor air quality. In order to study the system performance at the design stage, it is necessary to obtain approximate mathematical models for system components. In this thesis, the dynamic model for room is deriving by energy-conversation equations. And it approximately equals to a first-order lag. The parameters-estimation is also given in tables. The model of whole control system is created after achieving every component's model, and the dynamic response curve of PID control is obtained by way of simulation software.Secondly, in order to resolve the difficulties in setting PID parameters and avoiding overtook, the fuzzy controller is designed. Through theory analysis and simulation experiments, we can come to a conclusion that fuzzy control is a good method, it has good features of real time, little overshoot and quick response velocity.In the process of studying fuzzy control, we find scaling factors are very important parameters influencing system control qualities, and they all have non-liner impacts on system response. Studied the designing principles of scaling factors in fuzzy controller, parameters self-tuning fuzzy controller is designed. It is approved by simulation experiments that parameters self-tuning control is an ideal method, it not only can overcome overtook but also achieve ideal response curve. It has practical guiding effect and application value in theory research and engineering practice. Then it must have broad developing prospects.
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