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Communication Dans Un Congrès Année : 2022

KKL observer design for sensorless induction motors

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Pauline Bernard
Philippe Martin
Laurent Praly

Résumé

We propose a novel observer for speed and torque estimation in induction motors, using only electrical measurements and assuming the parameters known. The design is based on a novel representation of the motor model taking the form of a cascade of a flux subsystem and a velocity subsystem with known injection terms. After giving sufficient conditions for the uniform strong observability of those subsystems, we exploit the KKL approach to design a globally asymptotically stable observer without relying on any time-scale separation. We provide a method to optimize the observer parameters and illustrate its performance on simulation in a realistic scenario.
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Dates et versions

hal-03939485 , version 1 (14-01-2023)

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Identifiants

Citer

Pauline Bernard, Thomas Devos, Al Kassem Jebai, Philippe Martin, Laurent Praly. KKL observer design for sensorless induction motors. 2022 IEEE 61st Conference on Decision and Control (CDC), Dec 2022, Cancun, United States. pp.1235-1242, ⟨10.1109/CDC51059.2022.9992800⟩. ⟨hal-03939485⟩
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