Please use this identifier to cite or link to this item: doi:10.22028/D291-30890
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Title: Modeling and simulation of a valve system actuated by polycrystalline shape memory alloy wires
Author(s): Rizzello, Gianluca
Schmidt, Marvin
Seelecke, Stefan
Mandolino, Michele A.
Naso, David
Language: English
Title: Proceedings 2018 IEEE 15th International Workshop on Advanced Motion Control (AMC)
Pages: 6
Publisher/Platform: IEEE
Year of Publication: 2018
Title of the Conference: AMC 2018
Place of the conference: Tokyo, Japan
Publikation type: Conference Paper
Abstract: In this paper we present a control-oriented model for an actuator system driven by a shape memory alloy (SMA) wire. SMAs appear as suitable for the realization of compact actuator solutions, due to the inherently high energy density of the material. However, the strongly hysteretic response of SMAs significantly complicates modeling and control of devices based on such technology. The main goal of this paper is the development of a control-oriented model of a SMA wire valve actuator. The overall system model highly relies on an accurate model of the SMA material itself, which permits to describe the temperature-dependent hysteresis in a physics-based fashion. In addition, the model explicitly accounts for the polycrystalline nature of the material, and permits to reproduce the SMA hysteresis with high accuracy and in a computationally efficient way. Development of model equations is presented first. Subsequently, experimental identification and validation are performed on a 76 micron SMA wire. Model ability of predicting both stress-strain and resistance-strain curves, measured at different input powers, is shown. Finally, preliminary results on simulation of the overall actuator are presented.
DOI of the first publication: 10.1109/AMC.2019.8371126
URL of the first publication: https://ieeexplore.ieee.org/document/8371126
Link to this record: hdl:20.500.11880/29110
http://dx.doi.org/10.22028/D291-30890
ISBN: 978-1-5386-1946-9
978-1-5386-1945-2
Date of registration: 11-May-2020
Faculty: NT - Naturwissenschaftlich- Technische Fakultät
Department: NT - Systems Engineering
Professorship: NT - Prof. Dr. Stefan Seelecke
Collections:UniBib – Die Universitätsbibliographie

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