Please use this identifier to cite or link to this item: doi:10.22028/D291-29776
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Title: Passivity Analysis and Port-Hamiltonian Formulation of the Müller-Achenbach-Seelecke Model for Shape Memory Alloys: the Isothermal Case
Author(s): Rizzello, Gianluca
Naso, David
Seelecke, Stefan
Editor(s): Breitenecker, Felix
Kemmetmüller, Wolfgang
Körner, Andreas
Kugi, Andreas
Troch, Inge
Language: English
Title: IFAC-PapersOnLine
Startpage: 713
Endpage: 718
Publisher/Platform: Elsevier
Year of Publication: 2018
Place of publication: Amsterdam
Title of the Conference: MATHMOD 2018
Place of the conference: Vienna, Austria
Publikation type: Conference Paper
Abstract: In this work we investigate passivity of the Müller-Achenbach-Seelecke Model for shape memory alloy (SMA) wires. Such a model represents an effective control-oriented tool to describe the hysteretic dynamics of SMAs, but its highly complex structure makes it difficult to analyze fundamental properties such as energetic consistency, i.e., passivity. Focusing on the isothermal case, we propose a suitable storage function which permits to analyze passivity of the SMA model and to quantify energy dissipation due to hysteresis. In addition, a port-Hamiltonian representation of the resulting passive model is developed. This result permits to quantitatively assess energetic performance of SMAs when operating, e.g., as passive non-viscous dampers, and opens up the possibility of using powerful tools from port-Hamiltonian theory to analyze and design control systems for SMA actuators.
DOI of the first publication: 10.1016/j.ifacol.2018.03.121
URL of the first publication: https://www.sciencedirect.com/science/article/pii/S2405896318301253
Link to this record: hdl:20.500.11880/28182
http://dx.doi.org/10.22028/D291-29776
ISSN: 2405-8963
Date of registration: 24-Oct-2019
Notes: IFAC-PapersOnLine, Volume 51, Issue 2, 2018, Pages 713-718
Faculty: NT - Naturwissenschaftlich- Technische Fakultät
Department: NT - Systems Engineering
Professorship: NT - Prof. Dr. Stefan Seelecke
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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