TR2018-155
An approximate high gain observer for speed-sensorless estimation of induction motors
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- "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}
- }
,
- "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.
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Research Area:
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