居室固有の熱慣性を利用した空調のモデルと制御器の実装－建物空調における熱慣性の学習機構と制御方式－

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2014/05/01

タイトル(英語): Building Air Conditioning Model using the Room-specific Thermal Inertia and its Implementation as a Controller―Control Method with the Learning Mechanism of Thermal Inertia in the Building Air Conditioning―

著者名: 熊谷　敏（青山学院大学），杵嶋　修三（（独）国立環境研究所環境都市システム研究室）

著者名(英語): Satoshi Kumagai （Aoyama Gakuin University）, Shuuzou Kishima （Environmental Urban Systems Section, National Institute for Environmental Studies）

キーワード: 居室環境制御，学習機構，フィードフォワード制御，建物空調，熱挙動，熱慣性　　Room Environmental Control, Learning Mechanism, Feed Forward Control, Building Air Conditioning, Differential Heat-effecting Dynamics, Thermal Inertia

要約(英語): Various exogenous elements are involved in the thermal environment of the residential indoor spaces of building. Most of these elements behave differently and inter-relatedly to affect each room. It is difficult for the building air conditioning system to control the thermal environment of the rooms.  Making use of the stability brought by the inherent equilibrium of the heat inertia system itself and regarding the changes by the result of various extrinsic factors as the change of the heat inertia of the room, the model of the differential air conditional system (DACS) is proposed.  In order to verify the effectiveness of the system, the differential air-conditioning controller (DAC) is installed. It employs the rhyming control method. It is a method of air conditioning that causes gentle oscillatory movement to the process value of the room. In the controller, heuristic learning method is employed to determine the feed forward control parameters to capture the thermal behaviors (Differential Heat-effecting Dynamics), which is observed in the thermal environment of the room, defined as the thermal inertia. DAC keeps the appropriate temperature without heat shock to the residents in accordance with the trajectory of the temperature set point.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.134 No.5 （2014） 特集：機械学習手法に基づく設備診断・監視技術

本誌掲載ページ: 620-633 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/134/5/134_620/_article/-char/ja/