2-213 階層型ニューラルネットワークによる油圧サーボ系の信号伝達特性の同定に関する研究

• 小林,邦夫

  武蔵工業大学

• 山田,朋典

  武蔵工業大学大学院

• 森沢,正旭

  武蔵工業大学

書誌事項

タイトル別名

• A study on Identification of Signal Transfer Characteristic of an Electro-hydraulic Servo System using Hierarchical Neural Network

抄録

A hydraulic servo system which has quick-response characteristic, high positioning accuracy and high power by itself is often used in an air plane, a construction machinery and the center of a vibratory testing machine. Several papers for application of Neural Network to servo systems have been reported. Most of them were for systems which have slow speed response characteristic such as pneumatic servo systems. Recently applications to improve the characteristic of a hydraulic servo system, a vibratory waveform control system and so forth are studied. In this study, a neural network identifies the signal transfer characteristic of the electro-hydraulic servo system. It is possible to identify the signal transfer characteristics by weight values of the hierarchical neural network using input signals and its response output signals. Then Back propagation algorithm is used in learning process. The result of identificatuin can be able to improve the characteristics of the servo system. This method applied to the digital simulation to confirm capability of the identification.

収録刊行物

• インテリジェントシステム・シンポジウム講演論文集

  インテリジェントシステム・シンポジウム講演論文集 12 379-384, 2002-11-14

  日本機械学会

キーワード

• Hydraulic Servo System
• Neural Network
• Identification
• Signal transfer characteristic
• Sigmoid function

詳細情報

• CRID: 1541135670324250752
• NII論文ID: 110002496726
• NII書誌ID: AA1190206X
• Web Site: http://dl.ndl.go.jp/info:ndljp/pid/11134107
• 本文言語コード: ja
• データソース種別:
  • NDL-Digital
  • CiNii Articles