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

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Abstract

Two model reference adaptive system (MRAS) estimators are developed for identifying the parameters of permanent magnet synchronous motors (PMSM) based on the Lyapunov stability theorem and the Popov stability criterion, respectively. The proposed estimators only need online measurement of currents, voltages, and rotor speed to effectively estimate stator resistance, inductance, and rotor flux-linkage simultaneously. The performance of the estimators is compared and verified through simulations and experiments, which show that the two estimators are simple, have good robustness against parameter variation, and are accurate in parameter tracking. However, the estimator based on the Popov stability criterion, which can overcome 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 the Lyapunov stability theorem. In addition, the estimator based on the Popov stability criterion does not need the expertise that is required in designing a Lyapunov function.

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Authors and Affiliations

  1. School of Electrical and Information Engineering, Hunan University, Changsha, 410082, PRC

    Kan Liu & Jing Zhang

  2. Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, S1 3JD, UK

    Kan Liu, Qiao Zhang, Zi-Qiang Zhu & Paul Stewart

  3. Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, PRC

    Qiao Zhang & An-Wen Shen

  4. Department of Aeronautical and Automotive Engineering, University of Salford, Greater Manchester, M5 4WT, UK

    Paul Stewart

Authors
  1. Kan Liu
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  2. Qiao Zhang
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  3. Zi-Qiang Zhu
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  4. Jing Zhang
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  5. An-Wen Shen
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  6. Paul Stewart
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Corresponding author

Correspondence to Kan Liu.

Additional information

This work was supported by China Scholarship Council, National Natural Science Foundation of China (No. 60634020) and Scientific Research Foundation of Education Ministry for the Doctors (No. 20060532026).

Kan Liu received the B. Eng. degree in automation from the Hunan University, PRC in 2005. Then, he started his courses for a joint master/Ph.D. degree in Hunan University. In 2008, he was supported by China Scholarship Council to go on his study as a joint Ph.D. student/visiting student at the University of Sheffield, UK. Currently, he is working in the Department of Electronics and Electrical Engineering at the University of Sheffield.

His research interests include brushless AC motor parameters estimation by control theory.

Qiao Zhang received the B. Eng. and M. Sc. degrees from the Department of Control Science and Technology of Huazhong University of Science and Technology, PRC in 2003 and 2006, respectively. In 2008, he was supported by China Scholarship Council to go on his study as a joint Ph.D. student/visiting student at the University of Sheffield, UK. Currently, he is working in the Department of Electronics and Electrical Engineering at the University of Sheffield.

His research interests include brushless AC motor parameters estimation and machine drives design.

Zi-Qiang Zhu received the B.Eng. and M. Sc. degrees in electrical and electronic engineering from Zhejiang University, Hangzhou, PRC in 1982 and 1984, respectively, and the Ph.D. degree in electrical and electronic engineering from the University of Sheffield, Sheffield, UK in 1991. From 1984 to 1988, he was a lecturer with the Department of Electrical Engineering, Zhejiang University. Since 1988, he has been with the University of Sheffield, where he was initially a research associate and was subsequently appointed to an established post as senior research officer/senior research scientist. Since 2000, he has been a professor of electrical machines and control systems with the Department of Electronic and Electrical Engineering, University of Sheffield, and is currently head of the Electrical Machines and Drives Research Group. He is a fellow of IEEE.

His research interests include design and control of permanent magnet brushless machines and drives, for applications ranging from automotive, aerospace, to renewable energy.

Jing Zhang received the B. Eng., M. Sc., and Ph. D. degrees from Hunan University, PRC in 1982, 1984, and 1997, respectively. He was awarded China National Second Prize of Scientific and Technological Progress. He is now a vice president of Hunan University

His research interests include optimal control, fuzzy control, and intelligent control of rotary kiln.

An-Wen Shen received the B. Eng. and M. Sc. degrees from the Department of Electrical Engineering in Zhejiang University, PRC, and Ph.D. degree in Huazhong University of Science and Technology, PRC. Currently, he is a professor in the Department of Control Science and Technology at Huazhong University of Science and Technology.

His research interests include machine drives design, pulse-width modulation (PWM) strategies, intelligent control, and progress control.

Paul Stewart is a professor and the chair of aeronautical and automotive engineering, School of Computing, Science and Engineering and the president of the IEEE United Kingdom and Republic of Ireland Industrial Electronics Chapter. He was a lecturer at the University of Sheffield, UK and is now working in the University of Salford, UK.

His research interests include control theory applications, electromechanical motion control, power systems, multi-objective optimization, and intelligent systems.

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Liu, K., Zhang, Q., Zhu, ZQ. et al. Comparison of two novel MRAS based strategies for identifying parameters in permanent magnet synchronous motors. Int. J. Autom. Comput. 7, 516–524 (2010). https://doi.org/10.1007/s11633-010-0535-3

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  • DOI: https://doi.org/10.1007/s11633-010-0535-3

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