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  1. A500 情報学部/情報学研究科・情報文化学部・情報科学研究科
  2. A500a 雑誌掲載論文
  3. 学術雑誌

Parallel Type Two-axial Actuator Controlled by a Multi-layered Neural Network

http://hdl.handle.net/2237/9510
http://hdl.handle.net/2237/9510
c857ed5e-3306-4675-be82-5296d0b266a4
名前 / ファイル ライセンス アクション
ohka_5.pdf ohka_5.pdf (535.2 kB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2008-02-28
タイトル
タイトル Parallel Type Two-axial Actuator Controlled by a Multi-layered Neural Network
言語 en
著者 Ohka, Masahiro

× Ohka, Masahiro

WEKO 22103

en Ohka, Masahiro

Search repository
Sawamoto, Yasuhiro

× Sawamoto, Yasuhiro

WEKO 22104

en Sawamoto, Yasuhiro

Search repository
Matsukawa, Shiho

× Matsukawa, Shiho

WEKO 22105

en Matsukawa, Shiho

Search repository
Miyaoka, Tetsu

× Miyaoka, Tetsu

WEKO 22106

en Miyaoka, Tetsu

Search repository
Mitsuya, Yasunaga

× Mitsuya, Yasunaga

WEKO 22107

en Mitsuya, Yasunaga

Search repository
アクセス権
アクセス権 open access
アクセス権URI http://purl.org/coar/access_right/c_abf2
権利
言語 en
権利情報 Copyright © 2007 IEEE. Reprinted from (relevant publication info). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Nagoya University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org.
抄録
内容記述 We experimentally design a parallel typed two-axial micro actuator, which is utilized for the key part of the tactile display. The parallel typed two-axial actuator was composed of two bimorph piezoelectric elements and two small links connected by three joints. We formulated kinematics for the pararell typed two-axial actuator because the endpoint is controlled in the two-dimensional coordinate. Since relationship between applied voltage and displacement cause by the voltage shows a hysteresis loop in the bimorph piezoelectric element used as components of the two-axial actuator, we produce a control system for the two-axial actuator based on a multi-layered artificial neural network to compensate the hysteresis. The neural network is comprised of 4 neurons in the input layer, 10 neurons in the hidden layer and ones neuron in the output layer. The output neuron emits time derivative of voltage; two bits signal expressing increment or decrement condition is genarated by two input neurons; one of the other two input neurons and the other calculate current values of voltage and displacement, respectively. The neural network is featured with a feedback loop including an intergral element to reduce number of neurons. In the learning process, the network learns the hysteresis including a minor loop. In the verification test, the endpoint of the two-axial actuator traces the desired circular trajectory in the two-dimensional coordinate system.
言語 en
内容記述タイプ Abstract
出版者
言語 ja
出版者 IEEE
言語
言語 eng
資源タイプ
資源タイプresource http://purl.org/coar/resource_type/c_6501
タイプ journal article
出版タイプ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
DOI
関連タイプ isVersionOf
識別子タイプ DOI
関連識別子 https://doi.org/10.1109/MHS.2007.4420892
ISBN
関連タイプ isPartOf
識別子タイプ ISBN
関連識別子 978-1-4244-1858-9
書誌情報 en : International Symposium on Micro-NanoMechatronics and Human Science

p. 418-423, 発行日 2007
フォーマット
application/pdf
著者版フラグ
値 publisher
URI
識別子 http://hdl.handle.net/2237/9510
識別子タイプ HDL
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