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Signal analysis and identification for induction motor sensorless control

Abstract : This paper presents signal analysis and identification methods for achieving sensorless vector control of induction motors. The sensorless scheme is based on high frequency signal injection for operating at low and zero speed. The identification is done using least square algorithm and sliding discrete Fourier transform. Analog and digital filtering problems are also discussed. Simulation and experimental results are presented to confirm theoretical studies.
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https://hal.univ-lorraine.fr/hal-03562592
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Submitted on : Wednesday, February 9, 2022 - 9:57:00 AM
Last modification on : Monday, March 21, 2022 - 8:47:40 AM
Long-term archiving on: : Tuesday, May 10, 2022 - 6:25:49 PM

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Lotfi Baghli, I. Al-Rouh, A. Rezzoug. Signal analysis and identification for induction motor sensorless control. Control Engineering Practice, Elsevier, 2006, 14 (11), pp.1313-1324. ⟨10.1016/j.conengprac.2005.06.016⟩. ⟨hal-03562592⟩

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