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An adaptive flux observer for the permanent magnet synchronous motor

Abstract : A gradient descent-based nonlinear observer for surface-mount permanent magnet synchronous motors with remarkable stability properties was recently proposed. A key assumption for the derivation of the observer is the knowledge of the electrical parameters, which are usually uncertain. In the present paper, we propose a robust adaptive flux observer adding immersion and invariance parameter adaptation algorithms to estimate the stator resistance. Global boundedness of all signals and convergence to a residual set of the flux estimation error is guaranteed. The performance of the new adaptive observer is assessed with realistic simulations. Copyright © 2015 John Wiley & Sons, Ltd.
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Submitted on : Friday, November 10, 2017 - 2:03:14 PM
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José Guadaloupe Romero Velasquez, Roméo Ortega, Zhaoqiang Han, Thomas Devos, François Malrait. An adaptive flux observer for the permanent magnet synchronous motor. International Journal of Adaptive Control and Signal Processing, Wiley, 2016, 30 (3), pp.473-487. ⟨10.1002/acs.2587⟩. ⟨hal-01632583⟩



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