Normal-Operation-Undisturbed Magnet Flux Linkage Monitoring in PMSM Drives via a Mechanical-Model-Based Dual Time-Scale Approach
Abstract
Accurate identification of magnet flux linkage is of great importance for the condition monitoring and control optimization of permanent magnet synchronous motor (PMSM) drives. In this work, a normal-operation-undisturbed magnet flux linkage monitoring technique using a mechanical-model-based dual time-scale approach is presented. The proposed technique is composed of two Adaline-type asymptotic observers, which operate at different time scales and provide updates to each other to guarantee accuracy and cope with rank deficiency during the identification. With the aid of Lyapunov theory, a dynamic learning factor is ingeniously designed for each of the two Adaline-type asymptotic observers, which yields powerful noise immunity and helps to guarantee observer stability. In comparison to existing magnet flux linkage identification solutions, the proposed method is impervious to inverter nonlinearity and magnetic saturation, and meanwhile, it circumvents the need for harmonic signal injection and control structure alteration so as to eliminate the resulting possibility of affecting normal motor operations. Simulations, along with real-time experiments under different temperatures, loads, and speeds, are presented to demonstrate the feasibility of the proposed technique and its capability to accurately monitor the magnet flux linkage.
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Excessively high voltage stress increases the risk of device failure and necessitates higher-rated, larger, and more expensive components, compromising system compactness and cost-effectiveness.
“Excessively high voltage stress increases the risk of device failure and necessitates the use of higher-rated, larger, and more expensive components, which could compromise system compactness and costeffectiveness [110].”
From Bidirectional DC-DC Converter Topologies for Hybrid Energy Storage Systems in Electric Vehicles: A Comprehensive Review (2025) · cites this paper as [110]
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Tong, Y., Salhi, I., Wang, Q., Lu, G., & Wu, S. (2025) · Energies · doi:10.3390/en18092312 · Cited by 60 · see citing works
“Excessively high voltage stress increases the risk of device failure and necessitates the use of higher-rated, larger, and more expensive components, which could compromise system compactness and cost-effectiveness [110].”
- Authors
- Yang, C., Song, B., Jatskevich, J., Zhang, H., & Lee, C. H. T.
- Affiliations
- State Key Laboratory of Digital Manufacturing Equipment and Technology (CN)
- University of British Columbia (CA)
- Nanyang Technological University (SG)
- Venue
- IEEE Transactions on Industrial Informatics
- Published
- 2024-04
- Volume
- 20
- Issue
- 4
- Pages
- 6266-6279
- ISSN
- 1551-3203 (ISSN-L)
- 1941-0050
- OpenAlex
- W4390576170
- Cited by
- 9
- References
- 28
- Citations by year
- 2026: 4 · 2025: 5
- FWCI
- 0.93
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Transactions on Industrial Informatics (publishedVersion)
- DR-NTU (Nanyang Technological University) (submittedVersion)
- Funders
- National Key R&D Program of China (2023YFB4700292)
- Key R&D Program of Hubei (2022BAA061)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Sensorless Control of Electric Motors
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Motor Design and Analysis
- Physical Sciences › Engineering › Control and Systems Engineering › Control Systems and Identification
- Keywords
- permanent magnet synchronous motor, Lyapunov stability, noise immunity, inverter nonlinearity, magnetic saturation, condition monitoring, mechanical model
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