Comparison of two novel MRAS based strategies for identifying parameters in permanent magnet synchronous motors-Reference-Cited by-同舟云学术

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

Published:2010-11 Issue:4 Volume:7 Page:516-524
ISSN:1476-8186
Container-title:International Journal of Automation and Computing
language:en
Short-container-title:Int. J. Autom. Comput.

Author:

Liu Kan,Zhang Qiao,Zhu Zi-Qiang,Zhang Jing,Shen An-Wen,Stewart Paul

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Modeling and Simulation,Control and Systems Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11633-010-0535-3.pdf

Reference22 articles.

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2. T. Liu, M. Elbuluk, I. Husain. Sensorless adaptive neural network control of permanent magnet synchronous motors. In Proceedings of International Conference on Electric Machines and Drives, IEEE, pp. 287–289, 1999.

3. S. Bolognani, L. Tubiana, M. Zigliotto. Extended Kalman filter tuning in sensorless PMSM drives. IEEE Transactions on Industry Applications, vol. 39, no. 6, pp. 1741–1747, 2003.

4. S. Bolognani, M. Zigliotto, K. Unterkofler. On-line parameter commissioning in sensorless PMSM drives. In Proceedings of IEEE International Symposium on Industrial Electronics, Guimaraes, Portugal, vol. 2, pp. 480–484, 1997.

5. Z. Q. Zhu, X. Zhu, P. D. Sun, D. Howe. Estimation of winding resistance and PM flux-linkage in brushless AC machines by reduced-order extended Kalman filter. In Proceedings of IEEE International Conference on Networking, Sensing and Control, IEEE, London, UK, pp. 740–745, 2007.

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