Yoon, Jong Il, Truong, Dinh Quang and Ahn, Kyoung Kwan (2010) Self-sensing actuator using an ion-polymer metal composite based on a neural network model. Transactions of the Korean Society of Mechanical Engineers A, 34 (12). pp. 1865-1870. doi:10.3795/KSME-A.2010.34.12.1865 ISSN 1226-4873.

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Abstract

We develop an IPMC actuator with self-sensing behavior based on an accurate neural network model (NNM). The supplied voltage and voltage signals measured at two determined points on both sides of the IPMC sheet are used as inputs to the NNM. A CCD laser displacement sensor is installed in the rig for accurate measurement of the IPMC tip displacement that is used as the training output of the proposed NNM. Consequently, the NNM model is used to estimate the IPMC tip displacement; the NNM parameters are optimized by the collected input/output training data. The effectiveness of the model for the IPMC actuator is then verified by modeling results.

Item Type:	Journal Article
Divisions:	Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group)
Journal or Publication Title:	Transactions of the Korean Society of Mechanical Engineers A
Publisher:	Korean Society of Mechanical Engineers
ISSN:	1226-4873
Official Date:	December 2010
Dates:	Date Event December 2010 Published 10 October 2010 Accepted 5 July 2010 Submitted
Volume:	34
Number:	12
Page Range:	pp. 1865-1870
DOI:	10.3795/KSME-A.2010.34.12.1865
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
Adapted As:
Related URLs:	Publisher

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