Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)

The Dynamic Modeling of a Shape Memory Alloy

Authors
Ming Liu, Daming Dong, Chun Dong
Corresponding Author
Ming Liu
Available Online May 2017.
DOI
10.2991/icmeit-17.2017.82How to use a DOI?
Keywords
shape memory alloy, model identification, dynamic mode, dSPACE.
Abstract

This contribution providing a new test platform using FAUHABER linear motor and dSPACE is proposed based on the engineering application of shape memory alloy wire actuator. In this platform, a sinusoidal signal is input to the shape memory alloy wire to acquire the parameters. The dynamic model is identified by the system input-output and the MATLAB system identification toolbox. Compared with the mathematical model, the identified model made the description of shape memory alloy wire simple and effective, which lays the foundation for practical application.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)
Series
Advances in Computer Science Research
Publication Date
May 2017
ISBN
10.2991/icmeit-17.2017.82
ISSN
2352-538X
DOI
10.2991/icmeit-17.2017.82How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Ming Liu
AU  - Daming Dong
AU  - Chun Dong
PY  - 2017/05
DA  - 2017/05
TI  - The Dynamic Modeling of a Shape Memory Alloy
BT  - Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)
PB  - Atlantis Press
SP  - 422
EP  - 425
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-17.2017.82
DO  - 10.2991/icmeit-17.2017.82
ID  - Liu2017/05
ER  -