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Stable inertia identification considering precise cogging torque under low-speed operation

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posted on 2024-11-04, 15:11 authored by He Chang, Shaowu Lu, Bao Song, Jun YangJun Yang
Committed to the fact that the cogging torque of permanent magnet synchronous motors (PMSMs) under low-speed operation severely aggravates the speed ripple as well as the identification performance of inertia, this article puts forward an interconnection network (IN) using three extended sliding-mode observers (ESMOs) for the precise identification of both inertia and cogging torque. Difference from existing parallel observers, an adaptive-reaching gain (ARG) for each observer is designed to fully exploit the identification performance while minimizing undesirable low sliding-mode tremors. Moreover, a constraint criterion is adopted to limit the ARG for the IN's stability. By constructing an auxiliary function, more notably, the first ESMO in this IN is capable of identifying the cogging torque's eigenvalue online, which allows its mathematical model to be, thoroughly, linearized. Meanwhile, the second dual-state ESMO to observe its model parameters, where a tradeoff activator is exploited to suppress the coupling effect caused by estimation errors between the dual-state items, is combined for facilitating the accurate cogging torque. Finally, a stable inertia observed by the third ESMO is guaranteed via this IN. The advantages of the proposed scheme are verified by experimental results.

Funding

National Natural Science Foundation of China (Grant NO. 52475525, 51975430)

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

IEEE Transactions on Industrial Electronics

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Version

  • AM (Accepted Manuscript)

Rights holder

© IEEE

Publisher statement

© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Acceptance date

2024-09-03

Publication date

2024-09-26

Copyright date

2024

ISSN

0278-0046

eISSN

1557-9948

Language

  • en

Depositor

Dr Jun Yang. Deposit date: 23 October 2024

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