Experimental comparison of some phenomenological hysteresis models in characterizing hysteresis behavior of shape memory alloy actuators
Source abstract
Abstract
Among the phenomenological hysteresis models, the Preisach model, Krasnosel’skii–Pokrovskii model, and Prandtl–Ishlinskii model have found extensive applications for modeling hysteresis in shape memory alloys and other smart actuators. Since the mathematical complexity of the identification and inversion problem depends directly on the type of phenomenological hysteresis modeling method, choosing a proper phenomenological model among the mentioned models for modeling the hysteretic behavior of shape memory alloy actuators is a task of crucial importance. Moreover, the accuracy of the hysteresis modeling method in characterizing shape memory alloy hysteretic behavior consequently affects the whole compensator design task. In this article, the accuracy of the mentioned phenomenological models in characterizing and predicting the hysteretic behavior of shape memory alloy actuators is experimentally compared. It will be shown that although, unlike the Preisach and Krasnosel’skii–Pokrovskii models, the identification process of the Prandtl–Ishlinskii model is a time-consuming process, it leads to the best results when the outputs of these models are compared with the experimental data. Since the Prandtl–Ishlinskii model is also analytically invertible and can be easily implemented as a feed-forward controller for compensating the hysteretic nonlinearity behavior of shape memory alloy actuators, it seems to be the best model for modeling and compensating the hysteretic behavior of shape memory alloy actuators.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Piezoelectric Actuators and Control · Shape Memory Alloy Transformations · Magnetic Properties and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Mechanical Engineering, Sharif University of Technology, Tehran, Iran
References (40)
Show source-provided references
1. 10.1016/j.mechatronics.2007.10.00810.1016/j.mechatronics.2007.10.008 ↗
2. 10.1109/ACC.2009.516027510.1109/ACC.2009.5160275 ↗
3. 10.1088/0964-1726/18/4/04500110.1088/0964-1726/18/4/045001 ↗
4. 10.1109/TMECH.2010.205236610.1109/TMECH.2010.2052366 ↗
5. 10.1088/0964-1726/17/3/03502610.1088/0964-1726/17/3/035026 ↗
6. 10.1155/S1024123X9700058610.1155/S1024123X97000586 ↗
7. 10.1109/TCST.2007.90294910.1109/TCST.2007.902949 ↗
8. 10.1016/j.jmmm.2007.03.17710.1016/j.jmmm.2007.03.177 ↗
9. 10.1016/S0020-7225(98)00116-510.1016/S0020-7225(98)00116-5 ↗
10. 10.1007/978-1-4612-4048-810.1007/978-1-4612-4048-8 ↗
11. 10.1109/TASC.2004.83046210.1109/TASC.2004.830462 ↗
12. Gorbet RB (1997) Control of hysteresis systems with Preisach representations. PhD Thesis, University of Waterloo, Waterloo, ON, Canada.
13. 10.1109/ROBOT.1998.68064110.1109/ROBOT.1998.680641 ↗
14. 10.1088/0964-1726/6/3/00710.1088/0964-1726/6/3/007 ↗
15. 10.1016/S0957-4158(01)00043-510.1016/S0957-4158(01)00043-5 ↗
16. 10.1016/S0924-4247(99)00215-010.1016/S0924-4247(99)00215-0 ↗
17. 10.1080/0163056070187273010.1080/01630560701872730 ↗
18. Krasnosel’skii M · 1983
19. 10.1016/S0921-4526(01)00983-810.1016/S0921-4526(01)00983-8 ↗
20. 10.3166/ejc.9.407-41810.3166/ejc.9.407-418 ↗
21. 10.1109/TMAG.2004.82531910.1109/TMAG.2004.825319 ↗
22. Mayergoyz ID · 2003
23. 10.1109/20.4389210.1109/20.43892 ↗
24. 10.1109/3516.89105110.1109/3516.891051 ↗
25. Novotny M, Kilpi J (2001) Shape memory alloys (SMA). Available at: http://www.ac.tut.fi/aci/courses/ACI-51106/pdf/SMA/SMA-introduction.pdf
26. 10.1109/20.48956610.1109/20.489566 ↗
27. 10.1007/BF0134941810.1007/BF01349418 ↗
28. 10.1109/EMCZUR.2006.21491910.1109/EMCZUR.2006.214919 ↗
29. 10.1016/j.physb.2005.10.01610.1016/j.physb.2005.10.016 ↗
30. 10.1016/j.physb.2003.08.08610.1016/j.physb.2003.08.086 ↗
31. 10.1109/MCS.2008.93092110.1109/MCS.2008.930921 ↗
32. 10.1007/978-3-662-11557-210.1007/978-3-662-11557-2 ↗
33. Wang Q · Acta Automatica Sinica · 2005 · 31 · 92
34. Wang YF (2006) Methods for modeling and control of systems with hysteresis of shape memory alloy actuators. PhD Thesis, Concordia University, Montreal, QC, Canada.
35. Webb G (1998) Adaptive identification and compensation of a class of hysteresis operators. PhD Thesis, Texas A&M University, College Station, TX.
36. 10.1177/1045389X980090060510.1177/1045389X9800900605 ↗
37. 10.1016/S0094-114X(01)00065-910.1016/S0094-114X(01)00065-9 ↗
38. Zakerzadeh MR · Journal of Applied Mathematics · 2011 · 22
39. 10.1177/1045389X1141422710.1177/1045389X11414227 ↗
40. Zhang W (2005) Modeling and Control of Magnetostrictive Actuators. PhD Thesis, University of Kentucky, Lexington, KY.