journal article·2021-01-01Open access

Parameter identification of Preisach model based on velocity-controlled particle swarm optimization method

Long Chen, Qiongyang Yi, Tong Ben, Zeyu Zhang, Youhua Wang

AIP Advances· Volume 11· Issue 1

Abstract

The Preisach model is widely used to simulate the magnetic performance of transformers and motors in industrial applications. However, its parameter identification problem is still a complicated task. This paper proposed a new parameter identification method based on the velocity-controlled particle swarm optimization (VCPSO) algorithm combined with the closed-form Everett function. Firstly, the Preisach model is built through the closed-form Everett function, which gives an explicit form Preisach model. Secondly, the Preisach model’s parameter identification is realized by using the VCPSO algorithm, which only needs the limiting static hysteresis loop of the material. During the optimization process, the particle velocity is automatically adjusted to avoid falling into the optimal local solution. Finally, the obtained results are compared with the experimental hysteresis loop of the B30P150 silicon steel.
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Research context

OpenAlex topics: Magnetic Properties and Applications · Microstructure and Mechanical Properties of Steels · Magnetic properties of thin films

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Hubei Provincial Engineering Technology Research Center for Power Transmission Line, China Three Gorges University 1 , Yichang 443002, China

State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology 2 , Tianjin 300130, China

College of Electrical Engineering and New Energy, China Three Gorges University 3 , Yichang 443002, China

Funding

The State Key Laboratory of Reliability and Intelligence of Electrical Equipment · Hubei Provincial Engineering Technology Research Center for Power Transmission Line · The Applied Basic Research Projects of Yichang · The Open Foundation of the Yichang Key Laboratory of Information Physics Fusion Defense and Control System · National Natural Science Foundation of China · Natural Science Foundation of Hubei Province

References (16)

Show source-provided references
1. IEEE Trans. Magn. · 2018 · 54 · 730020410.1109/TMAG.2017.2748100 ↗
2. IEEE Trans. Magn. · 1986 · 22 · 60310.1109/tmag.1986.1064347 ↗
3. Z. Phys. · 1935 · 94 · 27710.1007/bf01349418 ↗
4. J. Comput. Appl. Math. · 2020 · 367 · 11245210.1016/j.cam.2019.112452 ↗
5. AIP Adv. · 2019 · 9 · 02511110.1063/1.5054948 ↗
6. IEEE Trans. Magn. · 2017 · 53 · 200130410.1109/TMAG.2017.2665528 ↗
7. Int. J. Appl. Electron. · 2017 · 55 · S133
8. J. Appl. Phys. · 2008 · 103 · 07D92310.1063/1.2834252 ↗
9. J. Comput. Appl. Math. · 2016 · 406 · 25110.1016/j.jmmm.2016.01.027 ↗
10. J. Magn. Magn. Mater · 2007 · 316 · e33010.1016/j.jmmm.2007.02.137 ↗
11. Arab. J. Sci. Eng. · 2019 · 44 · 694110.1007/s13369-019-03727-8 ↗
12. J. King Saud Univ. Sci. · 2019 · 31 · 74610.1016/j.jksus.2017.11.005 ↗
13. IEEE Trans. Magn. · 2002 · 38 · 83610.1109/20.996215 ↗
14. IEEE Trans. Magn. · 2011 · 47 · 39510.1109/tmag.2010.2097274 ↗
15. IEEE Trans. Magn. · 2015 · 51 · 730090410.1109/tmag.2014.2347962 ↗
16. IEEE Trans. Magn. · 2019 · 56 · 670090410.1109/tmag.2019.2950812 ↗