626 ニューラルネットワークを用いた境界層のアクティブ制御に関する研究(流動励起振動の制振とその利用)(OS.17 : 流体関連振動のダイナミクスと制御)

概要

論文の詳細を見る
This study deals with the active control of a laminar boundary layer over a flat plate with a flap actuator. The initial disturbance was introduced to boundary layer with a vibrating wire. The flap actuator consisted of a thin aluminum plate bounded with a PZT element and was attached to the surface of the flat plate. The flap actuator generates bending deformation perpendicular to the surface of the plate when applied with a voltage. Neural network was used offline and online for the feedforward control of the actuator and the results was compared those of manual control. The results show that neural network control possesses better adaptability than manual control when the phase and frequency of the disturbance are changed.
一般社団法人日本機械学会の論文
2001-08-03