TR2018-090
An Adaptive Luenberger Observer for Speed-Sensorless Estimation of Induction Machines
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- "An Adaptive Luenberger Observer for Speed-Sensorless Estimation of Induction Machines", American Control Conference (ACC), DOI: 10.23919/ACC.2018.8431006, June 2018, pp. 307-312.BibTeX TR2018-090 PDF
- @inproceedings{You2018jun,
- author = {You, Jie and Wu, Wencen and Wang, Yebin},
- title = {An Adaptive Luenberger Observer for Speed-Sensorless Estimation of Induction Machines},
- booktitle = {American Control Conference (ACC)},
- year = 2018,
- pages = {307--312},
- month = jun,
- doi = {10.23919/ACC.2018.8431006},
- url = {https://www.merl.com/publications/TR2018-090}
- }
,
- "An Adaptive Luenberger Observer for Speed-Sensorless Estimation of Induction Machines", American Control Conference (ACC), DOI: 10.23919/ACC.2018.8431006, June 2018, pp. 307-312.
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Abstract:
This work investigates the problem of speed sensorless state estimation for induction motors. We first exploit a state transformation for the induction motor model. Based on the new state coordinates, we design a new Luenberger observer, which can provide better dynamic performance compared to baseline algorithm. To address the parameter variation problem, the Lyapunov redesign method is used to achieve an adaptation with respect to the parameter alpha. It is shown that the proposed observer can achieve guaranteed asymptotic stability and readily extend to the time-varying speed case. Advantages of the proposed observer include guaranteed asymptotic stability of estimation errors, parameter alpha adaptation, and better dynamic performance. Simulation results are presented to validate the proposed method.
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NEWS Control and Dynamical Systems members to deliver 10 papers at American Control Conference Date: June 26, 2018 - June 29, 2018
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Research Area: ControlBrief- At the American Control Conference June 26-29, http://acc2018.a2c2.org/, MERL members will give 10 papers on subjects including model predictive control, embedded optimization, urban path planning, motor control, estimation, and calibration.