環境工学総合シンポジウム講演論文集
Online ISSN : 2424-2969
会議情報
111 学習制御を用いたファン音周期成分の能動制御
秋下 貞夫伊藤 道生
著者情報
会議録・要旨集 フリー

p. 49-52

詳細
抄録
New control algorithm for reducing sound pressure level of fan noise is proposed. As the algorithm basically comes from learning control which is invented for controlling the repetitive motion of a robot, it is effective for reducing the periodic components of fan noise. The control system utilizing the algorithm contains only error microphones without reference signal, which means the computer program realizing the algorithm is much shorter than that for conventional control algorithms, filetered-X or filetered ε, for example. The control experiment was conducted to prove the high efficiency of the new control algorithm. The result of the control experiment proved the superiority of the learning control over the conventional algorithms.
著者関連情報
© 2000 一般社団法人 日本機械学会
前の記事 次の記事
feedback
Top