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|Title||Design of Sugeno Fuzzy Controller for HVAC in Large Building|
The advantage of fuzzy logic control is that it does not strictly need any mathematical model of the plant. It is based on operator experience, and it is very easy to apply. Hence, many complex systems can be controlled without knowing the exact mathematical model of the plant. In addition, fuzzy logic simplifies dealing with nonlinearities in systems. Fuzzy controller is used to control Heating, Ventilating and Air Conditioning (HVAC) System, which is time varying nonlinear system. This controller consists of two fuzzy levels. The first fuzzy level is controls two varying feedback parameters (Air temperature and Air quality) and to make the controller adapt with these changes. While the second level is controls the Error and Change of Error that comes from first level. In this thesis, a hierarchical Sugeno fuzzy controller will be designed .The proposed structure is used to reduce the number of rules and the computing time required for the simulation processes, so it is suitable for nonlinear temperature control for 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. The proposed controller is tested using Matlab/Simulink environment , the results show that the Sugeno controller has a good response compared to the Mamdani controller, which applied to the same system. Achieving these purposes will increase the thermal comfort and reduce energy consumption.
|Publisher||الجامعة الإسلامية - غزة|
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