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|Title||Adaptive Hierarchical Fuzzy controller for HVAC Systems in Low Energy Buildings|
Proper 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 information and reduce the computing time required for the simulation processes, so it is suitable for nonlinear temperature control with large low energy buildings with features such as large capacity and longtime delay. The controller is developed using a computer simulation of a virtual building contains most parameters of a real building. Fuzzy rules are learned from experts and system performance observations. Matlab program is used to simulate HVAC system and to see the results of the new controller.
|Publisher||الجامعة الإسلامية - غزة|
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