NEURAL NETWORK CONTROL OF TEMPERATURE PROFILE BY IMPINGING JET ARRAYS(Flow Control 1)
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概要
- 論文の詳細を見る
The wall temperature profile in the flow field of an impinging two jet array has been controlled using a neural network. The jet excitation is conducted by injection and suction through the fine slits at the nozzle exits to obtain the desired wall temperature profile. The wall temperature profile is determined uniquely by the excitation pattern; the flow field is considered as one function with the excitation pattern as an input and the wall temperature profile as an output. A neural network learns the inverse function of the flow field via on-line-learning and off-line-learning, and is then applied as a controller. As the inverse function become accurate via learning, the wall temperature profile approaches the target asymptotically.
- 一般社団法人日本機械学会の論文
- 2005-10-05
著者
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Hishida Koichi
Department Of System Design Engineering Keio University
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Hishida Koichi
Department Of Mechanical Engineering Keio University
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Yamamoto Kazuyuki
Department Of Physics Konan University:(present Office)department Of Computer Science Kitami Institu
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Yamamoto Kazuyuki
Graduate School Of Integrated Design Engineering Keio University
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HASEGAWA Naoyuki
Graduate School of Integrated Design Engineering, Keio University
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Imazeki Masami
Department of System Design Engineering, Keio University
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Hasegawa Naoyuki
Department of System Design Engineering, Keio University
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Imazeki Masami
Graduate School Of Integrated Design Engineering Keio University
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Hasegawa Naoyuki
Graduate School Of Integrated Design Engineering Keio University
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Yamamoto Kazuyuki
Department of Bioengineering, Nagaoka University of Technology
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