自励振動を有する2次元チャンネル内噴流の数値解析 : 第4報, ニューラルネットワークオブザーバ能動制御

概要

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Active control of jets exhausting into a two dimensional channel with insulated suction near the wall during monitoring with a neural network is described. The aim of this work is to simulate the possibility of controlling the flow pattern with a flip-flop phenomenon by suitable suction. In this case, output of a neural network is estimated satisfactorily based on 3 flow patterns from the teaching data. The periodic flow pattern at Reynolds number Re=1.0×10^3 is reduced by a less than 10% suction rate for primary jets. Then stable flow emerges as a result of feedback gain of the neural network. Since the control with suction does not have to be continuous, the power cost is reduced. The nonperiodic case at Re=1.0×10^4 is hard to control, but we achieved good control by use of a suitable suction rate with the neural network.
一般社団法人日本機械学会の論文
1997-11-25