eprintid: 1439
rev_number: 5
eprint_status: archive
userid: 17
dir: disk0/00/00/14/39
datestamp: 2012-11-30 08:27:56
lastmod: 2012-11-30 08:27:56
status_changed: 2012-11-30 08:27:56
type: article
succeeds: 1424
metadata_visibility: show
creators_name: Dellino, Gabriella
creators_name: Lino, Paolo
creators_name: Meloni, Carlo
creators_name: Rizzo, Alessandro
creators_name: Bonomo, Claudia
creators_name: Fortuna, Luigi
creators_name: Giannone, Pietro
creators_name: Graziani, Salvatore
creators_id: gabriella.dellino@imtlucca.it
creators_id: 
creators_id: 
creators_id: 
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title: Simulation-Optimization in Modeling Ionic Polymer-Metal Composites Actuators
ispublished: pub
subjects: QA
subjects: TJ
divisions: EIC
full_text_status: restricted
keywords: model identification; simulation-optimisation; IPMC actuators
abstract: The increasing pressure on the development time of new materials and devices has changed the modelling and design process over the years. In the past, they mainly consisted of experimentation and physical prototyping. Clearly, it is hard to incorporate changes in finished prototypes, while producing a variety of different prototypes at once may be very expensive. To this aim, computer simulation models such as circuit design models and continuous system simulation models are widely used in engineering modelling, design and analysis. The studies towards a better understanding of complex systems require quantitative model development, making optimisation and experimental data fitting tools indispensable. In this framework, the modelling of ionic polymer-metal composites (IPMCs) is studied. In particular, this paper deals with simulation-optimisation issues arising in the model calibration of a particular IPMC-based actuator in air. We consider a non-linear dynamical model of the device, with lumped parameters, able to estimate the IPMC actuator absorbed current, together with the mechanical quantities of interest, which, in the case under study, are the free deflection and/or the blocked force. Two optimisation problems have been formulated, focusing on different stages of the model parameters identification. The strategies adopted to solve the problems allow to achieve some promising - although preliminary - results.
date: 2012
date_type: published
publication: International Journal of Modelling, Identification and Control
volume: 17
number: 1
publisher: Inderscience
pagerange: 8-18
id_number: 10.1504/IJMIC.2012.048635 
refereed: TRUE
issn: 1746-6172
citation:   Dellino, Gabriella and Lino, Paolo and Meloni, Carlo and Rizzo, Alessandro and Bonomo, Claudia and Fortuna, Luigi and Giannone, Pietro and Graziani, Salvatore  Simulation-Optimization in Modeling Ionic Polymer-Metal Composites Actuators.  International Journal of Modelling, Identification and Control, 17 (1).  pp. 8-18.  ISSN 1746-6172      (2012)  
document_url: http://eprints.imtlucca.it/1439/1/IPMC11075-new_templ.pdf