中文说明：摘要适当控制低能源的建筑物是比常规的楼宇，由于其复杂性和对操作条件的敏感性更难。因此，适当的控制器更好的性能至关重要。在本论文中，自适应分层模糊控制用于控制加热、 通风和空调 （HVAC） 系统是时变的非线性系统。所设计的控制器是能够维持舒适条件下时变热负荷。自适应递阶模糊是包括两个层次 ；第一个模糊层次是控制两个不同的反馈参数 （空气温度和空气质量），使控制器适应这些变化，可以很容易地考虑任何能源来自可再生能源 ；第二个模糊层次是控制的误差和误差变化来自于第一级。层次结构用于减少数量的规则，很容易提取模糊规则，修剪的冗余信息和减少所需的仿真过程，所以它是适合于非线性温度控制与具有大容量、 长时间的延误等功能的大型低能耗建筑的计算时间。控制器采用计算机仿真的虚拟建筑包含实际建筑物的大多数参数。从专家和系统性能观察学习模糊规则。Matlab 程序用来模拟暖通空调系统，看到新的控制器的结果。
English Description：
AbstractProper control for low energy buildings is more difficult than conventional buildings due to their complexity and sensitivity to operating conditions. Therefore, Suitable controller is essential for better performance. In this thesis, Adaptive Hierarchical Fuzzy control is used to control Heating, Ventilating and Air Conditioning (HVAC) System which is time varying nonlinear system. The proposed Controller is capable of maintaining comfort conditions under time varying thermal loads. Adaptive Hierarchical Fuzzy is consist of two levels; first fuzzy level is to control two varying feedback parameters (Air temperature and Air quality) and to make the controller adapt with these changes and make it easy to consider any energy from renewable energy sources; the second fuzzy level is to control the Error and Change of Error that comes from first level.A hierarchical structure is used to reduce the number of rules, easily to extract fuzzy rules, to trim redundant informat