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Identification of a nonlinear black-box model for a self-sensing polymer metal composite actuator
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Truong, Dinh Quang, Ahn, Kyoung Kwan, Nam, Doan Ngoc Chi and Yoon, Jong Il (2010) Identification of a nonlinear black-box model for a self-sensing polymer metal composite actuator. Smart Materials and Structures, 19 (8). 085015. doi:10.1088/0964-1726/19/8/085015 ISSN 0964-1726.
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Official URL: http://dx.doi.org/10.1088/0964-1726/19/8/085015
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 the mobility of cations in the polymer network and vice versa. The aim of this paper is the identification of a novel accurate nonlinear black-box model (NBBM) for IPMC actuators with self-sensing behavior based on a recurrent multi-layer perceptron neural network (RMLPNN) and a self-adjustable learning mechanism (SALM).
Firstly, an IPMC actuator is investigated. Driving voltage signals are applied to the IPMC in order to identify the IPMC characteristics. Secondly, the advanced NBBM for the IPMC is built with suitable inputs and output to estimate the IPMC tip displacement. Finally, the model parameters are optimized by the collected input/output training data.
Modeling results show that the proposed self-sensing methodology based on the optimized NBBM model can well describe the bending behavior of the IPMC actuator corresponding to its applied power without using any measuring sensor.
| Item Type: | Journal Article | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||||
| Journal or Publication Title: | Smart Materials and Structures | ||||||||
| Publisher: | Institute of Physics Publishing Ltd | ||||||||
| ISSN: | 0964-1726 | ||||||||
| Official Date: | 15 July 2010 | ||||||||
| Dates: |
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| Volume: | 19 | ||||||||
| Number: | 8 | ||||||||
| Page Range: | 085015 | ||||||||
| DOI: | 10.1088/0964-1726/19/8/085015 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Access rights to Published version: | Restricted or Subscription Access |
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