Comparison of two novel MRAS based strategies for identifying parameters in permanent magnet synchronous motors.
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 functionCitation
Liu, K., Zhang, Q., Zhu, Z.Q., Zhang, J., Shen, A.W. and Stewart, P., (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. DOI: 10.1007/s11633-010-0535-3Publisher
Springer.Journal
International journal of automation and computingDOI
10.1007/s11633-010-0535-3Additional Links
http://link.springer.com/10.1007/s11633-010-0535-3https://dspace.lboro.ac.uk/2134/25042
Type
ArticleLanguage
enISSN
1476-81861751-8520
ae974a485f413a2113503eed53cd6c53
10.1007/s11633-010-0535-3
Scopus Count
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