Dynamic modeling and performance prediction of hysteresis motors considering material properties

Haodong Sun; Yuan Cheng; Bo Gao; Tianxu Zhao; Shumei Cui

doi:10.1109/SCEMS60579.2023.10379349

Dynamic modeling and performance prediction of hysteresis motors considering material properties

Haodong Sun
, Yuan Cheng
, Bo Gao
, Tianxu Zhao
, Shumei Cui

School of Electrical Engineering and Automation, Harbin Institute of Technology
Chongqing Research Institute of HIT

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Hysteresis motors have attracted much attention in many aspects due to their excellent operating characteristics. However, the problem of establishing an accurate dynamic model of hysteresis motor always limits its application in closed-loop control, and the previous modeling based on constant impedance does not consider the effect of load variation on the motor characteristics, which results in low accuracy. In this paper, the influence of material properties on motor characteristics is considered based on variable impedance-based modeling, which improves the accuracy of the motor model in the full dynamic response process; on this basis, the performance of the motor can be predicted.

Original language	English
Title of host publication	2023 IEEE 6th Student Conference on Electric Machines and Systems, SCEMS 2023 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers
ISBN (Electronic)	9798350329346
DOIs	https://doi.org/10.1109/SCEMS60579.2023.10379349
State	Published - 2023
Externally published	Yes
Event	6th IEEE Student Conference on Electric Machines and Systems, SCEMS 2023 - Hybrid, Huzhou, China Duration: 7 Dec 2023 → 9 Dec 2023

Publication series

Name	IEEE Student Conference on Electric Machines and Systems (SCEMS)
ISSN (Electronic)	2771-7577

Conference

Conference	6th IEEE Student Conference on Electric Machines and Systems, SCEMS 2023
Country/Territory	China
City	Hybrid, Huzhou
Period	7/12/23 → 9/12/23

Keywords

Dynamic modeling
Hysteresis loop
Hysteresis motor
Performance prediction

Access to Document

10.1109/SCEMS60579.2023.10379349

Cite this

Sun, H., Cheng, Y., Gao, B., Zhao, T., & Cui, S. (2023). Dynamic modeling and performance prediction of hysteresis motors considering material properties. In 2023 IEEE 6th Student Conference on Electric Machines and Systems, SCEMS 2023 - Proceedings (IEEE Student Conference on Electric Machines and Systems (SCEMS)). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/SCEMS60579.2023.10379349

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title = "Dynamic modeling and performance prediction of hysteresis motors considering material properties",

abstract = "Hysteresis motors have attracted much attention in many aspects due to their excellent operating characteristics. However, the problem of establishing an accurate dynamic model of hysteresis motor always limits its application in closed-loop control, and the previous modeling based on constant impedance does not consider the effect of load variation on the motor characteristics, which results in low accuracy. In this paper, the influence of material properties on motor characteristics is considered based on variable impedance-based modeling, which improves the accuracy of the motor model in the full dynamic response process; on this basis, the performance of the motor can be predicted.",

keywords = "Dynamic modeling, Hysteresis loop, Hysteresis motor, Performance prediction",

author = "Haodong Sun and Yuan Cheng and Bo Gao and Tianxu Zhao and Shumei Cui",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 6th IEEE Student Conference on Electric Machines and Systems, SCEMS 2023 ; Conference date: 07-12-2023 Through 09-12-2023",

year = "2023",

doi = "10.1109/SCEMS60579.2023.10379349",

language = "英语",

series = "IEEE Student Conference on Electric Machines and Systems (SCEMS)",

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booktitle = "2023 IEEE 6th Student Conference on Electric Machines and Systems, SCEMS 2023 - Proceedings",

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Sun, H, Cheng, Y, Gao, B, Zhao, T & Cui, S 2023, Dynamic modeling and performance prediction of hysteresis motors considering material properties. in 2023 IEEE 6th Student Conference on Electric Machines and Systems, SCEMS 2023 - Proceedings. IEEE Student Conference on Electric Machines and Systems (SCEMS), Institute of Electrical and Electronics Engineers, 6th IEEE Student Conference on Electric Machines and Systems, SCEMS 2023, Hybrid, Huzhou, China, 7/12/23. https://doi.org/10.1109/SCEMS60579.2023.10379349

Dynamic modeling and performance prediction of hysteresis motors considering material properties. / Sun, Haodong; Cheng, Yuan; Gao, Bo et al.
2023 IEEE 6th Student Conference on Electric Machines and Systems, SCEMS 2023 - Proceedings. Institute of Electrical and Electronics Engineers, 2023. (IEEE Student Conference on Electric Machines and Systems (SCEMS)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Dynamic modeling and performance prediction of hysteresis motors considering material properties

AU - Sun, Haodong

AU - Cheng, Yuan

AU - Gao, Bo

AU - Zhao, Tianxu

AU - Cui, Shumei

PY - 2023

Y1 - 2023

N2 - Hysteresis motors have attracted much attention in many aspects due to their excellent operating characteristics. However, the problem of establishing an accurate dynamic model of hysteresis motor always limits its application in closed-loop control, and the previous modeling based on constant impedance does not consider the effect of load variation on the motor characteristics, which results in low accuracy. In this paper, the influence of material properties on motor characteristics is considered based on variable impedance-based modeling, which improves the accuracy of the motor model in the full dynamic response process; on this basis, the performance of the motor can be predicted.

AB - Hysteresis motors have attracted much attention in many aspects due to their excellent operating characteristics. However, the problem of establishing an accurate dynamic model of hysteresis motor always limits its application in closed-loop control, and the previous modeling based on constant impedance does not consider the effect of load variation on the motor characteristics, which results in low accuracy. In this paper, the influence of material properties on motor characteristics is considered based on variable impedance-based modeling, which improves the accuracy of the motor model in the full dynamic response process; on this basis, the performance of the motor can be predicted.

KW - Dynamic modeling

KW - Hysteresis loop

KW - Hysteresis motor

KW - Performance prediction

UR - https://www.scopus.com/pages/publications/85183459516

U2 - 10.1109/SCEMS60579.2023.10379349

DO - 10.1109/SCEMS60579.2023.10379349

M3 - 会议稿件

AN - SCOPUS:85183459516

T3 - IEEE Student Conference on Electric Machines and Systems (SCEMS)

BT - 2023 IEEE 6th Student Conference on Electric Machines and Systems, SCEMS 2023 - Proceedings

PB - Institute of Electrical and Electronics Engineers

T2 - 6th IEEE Student Conference on Electric Machines and Systems, SCEMS 2023

Y2 - 7 December 2023 through 9 December 2023

ER -

Sun H, Cheng Y, Gao B, Zhao T , Cui S. Dynamic modeling and performance prediction of hysteresis motors considering material properties. In 2023 IEEE 6th Student Conference on Electric Machines and Systems, SCEMS 2023 - Proceedings. Institute of Electrical and Electronics Engineers. 2023. (IEEE Student Conference on Electric Machines and Systems (SCEMS)). doi: 10.1109/SCEMS60579.2023.10379349

Dynamic modeling and performance prediction of hysteresis motors considering material properties

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