Modeling and sensorless tension control of SMA actuator using GRU

Author:

ITO Soki1,HARADA Hiroyuki2

Affiliation:

1. Graduate School of Engineering, Hokkaido University

2. Faculty of Engineering, Hokkaido University

Publisher

Japan Society of Mechanical Engineers

Reference14 articles.

1. Brinson, L. C., One-dimensional constitutive behavior of shape memory alloy: Thermomechanical derivation with non-constant material functions and redefined Martensite internal variable, Journal of the Intelligent Material System and structure, Vol.4 (1993), pp.229-242.

2. Cho, K., Van, B. M., Gulcehre, C., Bahdanau, D., Bougares, F., Schwenk, H. and Bengio, Y., Learning phrase representations using rnn encoder decoder for statistical machine translation (2014), arXiv preprint arXiv:1406.1078.

3. Fathi, A. and Mozaffari, A., Modeling a shape memory alloy actuator using an evolvable recursive black-box and hybrid heuristic algorithms inspired based on the annual migration of salmons in nature, Applied Soft Computing, Vol.14, Part B(2014), pp.229-251.

4. Grant, D. and Hayward, V., Constrained force control of shape memory alloy actuators, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065), Vol.2 (2000), pp.1314-1320.

5. Homma, D., Development and application of function anisotropic shape memory alloy, Journal of the Japan Society for Precision Engineering, Vol.75, No.6 (2009), pp.690-694 (in Japanese).

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