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Design and verification of a non-linear black-box model for ionic polymer metal composite actuators

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Truong, Dinh Quang and Ahn, Kyoung Kwan (2011) Design and verification of a non-linear black-box model for ionic polymer metal composite actuators. Journal of Intelligent Material Systems and Structures, 22 (3). pp. 253-269. doi:10.1177/1045389X10396574 ISSN 1045-389X.

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Official URL: http://dx.doi.org/10.1177/1045389X10396574

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Abstract

An ion polymer metal composite (IPMC) is an electro-active polymer that bends in response to a small applied electrical field as a result of mobility of cations in the polymer network and vice versa. This article presents a novel accurate nonlinear black-box model (NBBM) for estimating the bending behavior of IPMC actuators. The NBBM is a combination of two advanced designs which are a general multi-layer perceptron neural network (GMLPNN) and a self-adjustable learning mechanism (SALM). Here, the GMLPNN is constructed with an ability to auto-adjust its structure based on its characteristic vector, while the SALM is built to take part in training the GMLPNN decisive parameters. For the model verification, an IPMC actuator is set up to investigate the IPMC characteristics as well as to generate training data. Next, the advanced NBBM model for the IPMC system is performed with suitable inputs to estimate the IPMC tip displacement. Finally, the model parameters are optimized by using the SALM mechanism with training data. The NBBM model ability is evaluated by a comparison of the estimated and real IPMC bending characteristics.

Item Type: Journal Article
Divisions: Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group)
Journal or Publication Title: Journal of Intelligent Material Systems and Structures
Publisher: Sage Publications Ltd.
ISSN: 1045-389X
Official Date: February 2011
Dates:
DateEvent
February 2011Published
10 January 2011Available
Volume: 22
Number: 3
Page Range: pp. 253-269
DOI: 10.1177/1045389X10396574
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access

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