A Comprehensive Review of State-of-the-Art Parameter Estimation Techniques for Permanent Magnet Synchronous Motors in Wide Speed Range
- Authors
- Rafaq, Muhammad Saad; Jung, Jin-Woo
- Issue Date
- Jul-2020
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- Parameter estimation; Estimation; Permanent magnet motors; Synchronous motors; Rotors; Torque; Magnetic flux; Electrical motor parameters; mechanical motor parameters; offline parameter estimation; online parameter estimation; permanent magnet synchronous motor (PMSM)
- Citation
- IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, v.16, no.7, pp 4747 - 4758
- Pages
- 12
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
- Volume
- 16
- Number
- 7
- Start Page
- 4747
- End Page
- 4758
- URI
- https://scholarworks.dongguk.edu/handle/sw.dongguk/19547
- DOI
- 10.1109/TII.2019.2944413
- ISSN
- 1551-3203
1941-0050
- Abstract
- Permanent magnet synchronous motor (PMSM) drive has emerged as one of the most preferred motor drives for industrial applications owing to its distinguished advantages, such as high torque density, high efficiency, and wide speed range operation. However, accurately updated knowledge about the PMSM parameters is crucial to designing a high-performance trajectory tracking controller. This article presents a state-of-the-art comprehensive review and up-to-date progress of the offline and online parameter estimation techniques of the PMSM drives. First, the problems associated with parameter estimation of the PMSM are systematically summarized to identify the parameters having fast and accurate convergence. Second, the offline parameter estimation techniques are categorized based on the frequency and time responses. Third, the recent advances and developments of the online parameter estimation techniques for PMSMs are assessed. Finally, there is a discussion of extensive industrial applications and future research trends for the parameter estimation techniques.
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Collections - College of Engineering > Department of Electronics and Electrical Engineering > 1. Journal Articles

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