Design of Nonlinear Compensator for Positioning Control in a Mass Storage System : A Neural-Network-Based Controller
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概要
- 論文の詳細を見る
Mass storage systems (MSSs) with automatic mediahandling mechanisms have become widely used in the field of information processing, and faster media handling is desired. Although there are various handling mechanisms, in all cases, disturbances such as solid friction and inertia variations are major obstacles to faster handling. This paper investigates a neural-network-based controller that compensates for these disturbances. A direct-type neural controller is proposed. The capability and characteristics of the controller are numerically and experimentally investigated by testing the positioning control of a rotary storehouse mechanism in an MSS. Experimental results, compared with those obtained using a conventional disturbance observer, indicate that the proposed neural-network-based controller can compensate effectively for nonlinear disturbances in the mechanisms.
- 一般社団法人日本機械学会の論文
- 1994-09-15
著者
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TAKAHASHI Kazuhiko
NTT Integrated Information and Energy Systems Laboratories
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Takayanagi M
Hitachi Ltd. Ibaraki‐ken Jpn
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Takayanagi Makoto
NTT Tokai Telecommunication Systems Department, Nippon Telegraph and Telephone Corporation
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Yamada Ichiro
Technology Research Department, Nippon Telegraph and Telephone Corporation
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Torp Steffen
Danish Institute of Technology
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Yamada Ichiro
Technology Research Department Nippon Telegraph And Telephone Corporation
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Takahashi Kazuhiko
Ntt Interdisciplinary Research Laboratories Nippon Telegraph And Telephone Corporation
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Takahashi Kazuhiko
Ntt Integrated Information & Energy Systems Laboratories
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- Design of Nonlinear Compensator for Positioning Control in a Mass Storage System : A Neural-Network-Based Controller
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