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Modeling of an ionic polymer metal composite actuator based on an extended Kalman filter trained neural network
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Truong, Dinh Quang and Ahn, Kyoung Kwan (2014) Modeling of an ionic polymer metal composite actuator based on an extended Kalman filter trained neural network. Smart Materials and Structures, 7 (23). pp. 1-14. 074008. doi:10.1088/0964-1726/23/7/074008 ISSN 0964-1726.
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Official URL: http://dx.doi.org/10.1088/0964-1726/23/7/074008
Abstract
An ion polymer metal composite (IPMC) is an electroactive polymer that bends in response to a small applied electric field as a result of mobility of cations in the polymer network and vice versa. This paper presents an innovative and accurate nonlinear black-box model (NBBM) for estimating the bending behavior of IPMC actuators. The model is constructed via a general multilayer perceptron neural network (GMLPNN) integrated with a smart learning mechanism (SLM) that is based on an extended Kalman filter with self-decoupling ability (SDEKF). Here the GMLPNN is built with an ability to autoadjust its structure based on its characteristic vector. Furthermore, by using the SLM based on the SDEKF, the GMLPNN parameters are optimized with small computational effort, and the modeling accuracy is improved. An apparatus employing an IPMC actuator is first set up to investigate the IPMC characteristics and to generate the data for training and validating the model. The advanced NBBM model for the IPMC system is then created with the proper inputs to estimate IPMC tip displacement. Next, the model is optimized using the SLM mechanism with the training data. Finally, the optimized NBBM model is verified with the validating data. A comparison between this model and the previously developed model is also carried out to prove the effectiveness of the proposed modeling technique.
| 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: | 17 June 2014 | ||||||||
| Dates: |
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| Volume: | 7 | ||||||||
| Number: | 23 | ||||||||
| Page Range: | pp. 1-14 | ||||||||
| Article Number: | 074008 | ||||||||
| DOI: | 10.1088/0964-1726/23/7/074008 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Access rights to Published version: | Restricted or Subscription Access |
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