TR2018-155

An approximate high gain observer for speed-sensorless estimation of induction motors

    •  Wang, Y., Zhou, L., Bortoff, S.A., Satake, A., Furutani, S., "An approximate high gain observer for speed-sensorless estimation of induction motors", IEEE/CAA Journal of Automatica Sinica, DOI: 10.1109/​JAS.2018.7511252, Vol. 6, No. 1, pp. 53-63, December 2018.
      BibTeX TR2018-155 PDF
      • @article{Wang2018dec,
      • author = {Wang, Yebin and Zhou, Lei and Bortoff, Scott A. and Satake, Akira and Furutani, Shinichi},
      • title = {An approximate high gain observer for speed-sensorless estimation of induction motors},
      • journal = {IEEE/CAA Journal of Automatica Sinica},
      • year = 2018,
      • volume = 6,
      • number = 1,
      • pages = {53--63},
      • month = dec,
      • doi = {10.1109/JAS.2018.7511252},
      • url = {https://www.merl.com/publications/TR2018-155}
      • }
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  • Research Area:

    Control

Abstract:

Rotor speed estimation for induction motors is a key problem in speed-sensorless motor drives. This paper performs nonlinear high gain observer design based on the full-order model of the induction motor. Such an effort appears nontrivial due to the fact that the full-model at best admits locally a non-triangular observable form (NTOF), and its analytical representation in the NTOF can not be obtained. This paper proposes an approximate high gain estimation algorithm, which enjoys a constructive design, ease of tuning, and improved speed estimation and tracking performance. Experiments demonstrate the effectiveness of the proposed algorithm