Cited by 29Sensorless Control of Electric MotorsControl Systems in EngineeringAdaptive Control of Nonlinear Systems

The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.

Stable Simultaneous Inertia and Disturbance Torque Identification for SPMSM Drive Systems Subject to Mismatched Rotor Flux Linkage

Yang, Chengbo, Song, Bao, Xie, Yuanlong, Lu, Shaowu, Tang, Xiaoqi·2022·IEEE Journal of Emerging and Selected Topics in Power Electronics

Abstract

In surface-mounted permanent magnet synchronous motor (SPMSM) drives, the distinguished orthogonal-principle-based method is presently popular for handling simultaneous inertia and disturbance torque estimation due to its simplicity and ease of implementation. Nevertheless, it is facing challenges posed by the rotor flux-linkage mismatch, zero-derivative constraint, and operating-condition limitation. To cope with these issues, this article presents an alternative scheme, which explores a stable simultaneous inertia and disturbance torque estimation with the real-time flux-linkage correction. First, an Adaline-based estimator is developed to acquire the disturbance torque. With an input-adaptive learning rate designed by the Lyapunov theory, this estimator can prevent potential convergence failure. Then, an extended sliding-mode observer for inertia estimation is proposed regarding the inertia as a new system state. By using the identified disturbance torque to devise an adaptive feedback gain, this observer guarantees the asymptotic error convergence. Finally, to counteract the flux-linkage mismatch, a flux-linkage observer with a time-varying learning rate is constructed utilizing the Adaline technique. Moreover, it attains robust convergence and only has one to-be-adjusted parameter. The effectiveness of our scheme is validated by abundant simulations and real-time experiments.

Overview

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Crossref · 10.1109/jestpe.2021.3111122

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Metadata

Authors
Yang, C., Song, B., Xie, Y., Lu, S., & Tang, X.
Affiliations
  • State Key Laboratory of Digital Manufacturing Equipment and Technology (CN)
  • Guangdong Intelligent Robotics Institute, Dongguan, China
  • Wuhan University of Science and Technology (CN)
  • Huazhong University of Science and Technology (CN)
Venue
IEEE Journal of Emerging and Selected Topics in Power Electronics
Published
2022-04
Volume
10
Issue
2
Pages
2445-2462
ISSN
  • 2168-6777 (ISSN-L)
  • 2168-6785
OpenAlex
W3197146428
Cited by
29
References
44
Citations by year
2026: 3 · 2025: 10 · 2024: 6 · 2023: 8 · 2022: 2
FWCI
1.18
Type
journal article
Language
en
Open access
closed
Locations
IEEE Journal of Emerging and Selected Topics in Power Electronics (publishedVersion)
Funders
  • National Key Research and Development Program of China (SQ2019YFB-1707300)
  • Basic and Applied Basic Research Foundation of Guangdong Province (2020A1515110464, 2021A1515012409)
  • Innovative and Entrepreneurial Teams Program of Guangdong (2017ZT07G493)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Sensorless Control of Electric Motors
  • Physical Sciences › Engineering › Mechanical Engineering › Control Systems in Engineering
  • Physical Sciences › Engineering › Control and Systems Engineering › Adaptive Control of Nonlinear Systems
Keywords
surface-mounted permanent magnet synchronous motor, disturbance torque estimation, inertia estimation, time-varying learning rate, motor drives

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