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Volume 6 Issue 1
Jan.  2019

IEEE/CAA Journal of Automatica Sinica

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Article Contents
Yebin Wang, Lei Zhou, Scott A. Bortoff, Akira Satake and Shinichi Furutani, "An Approximate High Gain Observer for Speed-sensorless Estimation of Induction Motors," IEEE/CAA J. Autom. Sinica, vol. 6, no. 1, pp. 53-63, Jan. 2019. doi: 10.1109/JAS.2018.7511252
 Citation: Yebin Wang, Lei Zhou, Scott A. Bortoff, Akira Satake and Shinichi Furutani, "An Approximate High Gain Observer for Speed-sensorless Estimation of Induction Motors," IEEE/CAA J. Autom. Sinica, vol. 6, no. 1, pp. 53-63, Jan. 2019.

# An Approximate High Gain Observer for Speed-sensorless Estimation of Induction Motors

##### doi: 10.1109/JAS.2018.7511252
• 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.

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