TY - JOUR
T1 - A Comprehensive Review of State-of-the-Art Parameter Estimation Techniques for Permanent Magnet Synchronous Motors in Wide Speed Range
AU - Rafaq, Muhammad Saad
AU - Jung, Jin Woo
N1 - Publisher Copyright:
© 2005-2012 IEEE.
PY - 2020/7
Y1 - 2020/7
N2 - 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.
AB - 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.
KW - Electrical motor parameters
KW - mechanical motor parameters
KW - offline parameter estimation
KW - online parameter estimation
KW - permanent magnet synchronous motor (PMSM)
UR - http://www.scopus.com/inward/record.url?scp=85082998977&partnerID=8YFLogxK
U2 - 10.1109/TII.2019.2944413
DO - 10.1109/TII.2019.2944413
M3 - Article
AN - SCOPUS:85082998977
SN - 1551-3203
VL - 16
SP - 4747
EP - 4758
JO - IEEE Transactions on Industrial Informatics
JF - IEEE Transactions on Industrial Informatics
IS - 7
M1 - 8855027
ER -