دانلود مقاله ISI انگلیسی شماره 61517
عنوان فارسی مقاله

کنترل حرارت فازی ساختمان خورشیدی تحت شار تطبیقی

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
61517 2006 11 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Quasi-adaptive fuzzy heating control of solar buildings
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Building and Environment, Volume 41, Issue 12, December 2006, Pages 1881–1891

کلمات کلیدی
ساختمان خورشیدی؛ گرمایش فضا؛ کنترل منطق فازی؛ شبکه عصبی؛ کنترل تطبیقی، کنترل PI؛ کنترل زمان واقعی
پیش نمایش مقاله
پیش نمایش مقاله کنترل حرارت فازی ساختمان خورشیدی تحت شار تطبیقی

چکیده انگلیسی

Significant progress has been made on maximising passive solar heat gains to building spaces in winter. Control of the space heating in these applications is complicated due to the lagging influence of the useful solar heat gain coupled with the wide range of construction materials and heating system choices. Additionally, and in common with most building control applications, there is a need to develop control solutions that permit simple and transparent set-up and commissioning procedures. This paper addresses the development and testing of a quasi-adaptive fuzzy logic control method that addresses these issues. The controller is developed in two steps. A feed-forward neural network is used to predict the internal air temperature, in which a singular value decomposition (SVD) algorithm is used to remove the highly correlated data from the inputs of the neural network to reduce the network structure. The fuzzy controller is then designed to have two inputs: the first input being the error between the set-point temperature and the internal air temperature and the second the predicted future internal air temperature. The controller was implemented in real-time using a test cell with controlled ventilation and a modulating electric heating system. Results, compared with validated simulations of conventionally controlled heating, confirm that the proposed controller achieves superior tracking and reduced overheating when compared with the conventional method of control.

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