Comparison of two novel MRAS based strategies for identifying parameters in permanent magnet synchronous motors.

Journal article


Liu, Kan, Zhang, Qiao, Zhu, Zi-Qiang, Zhang, Jing, Shen, An-Wen and Stewart, Paul 2010. Comparison of two novel MRAS based strategies for identifying parameters in permanent magnet synchronous motors. International journal of automation and computing. 7 (4), pp. 516-524. https://doi.org/10.1007/s11633-010-0535-3
AuthorsLiu, Kan, Zhang, Qiao, Zhu, Zi-Qiang, Zhang, Jing, Shen, An-Wen and Stewart, Paul
Abstract

Two Model Reference Adaptive System (MRAS) estimators are developed for identifying the parameters of
permanent magnet synchronous motors (PMSM) based on Lyapunov stability theorem and Popov stability criterion,
respectively. The proposed estimators only need online detection of currents, voltages and rotor rotation speed, and are
effective in the estimation of stator resistance, inductance and rotor flux-linkage simultaneously. Their performances are
compared and verified through simulations and experiments. It shows that the two estimators are simple and have good
robustness against parameter variation and are accurate in parameter tracking. However, the estimator based on Popov
stability criterion, which can overcome the parameter variation in a practical system, is superior in terms of response speed
and convergence speed since there are both proportional and integral units in the estimator in contrast to only one integral
unit in the estimator based on Lyapunov stability theorem. In addition, there is no need of the expert experience which is
required in designing a Lyapunov function

KeywordsLyapunov Stability Theorem, Popov Stability Theorem, PMAC Motor, Model Reference Adaptive System
Year2010
JournalInternational journal of automation and computing
Journal citation7 (4), pp. 516-524
PublisherSpringer
ISSN1476-8186
1751-8520
Digital Object Identifier (DOI)https://doi.org/10.1007/s11633-010-0535-3
Web address (URL)http://hdl.handle.net/10545/623474
http://creativecommons.org/licenses/by/3.0/us/
hdl:10545/623474
Publication dates11 Nov 2010
Publication process dates
Deposited01 Feb 2019, 14:37
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Attribution 3.0 United States

ContributorsUniversity of Lincoln UK
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