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Observer design for induction motor: an approach based on the mean value theorem

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Abstract

In this paper, observer design for an induction motor has been investigated. The peculiarity of this paper is the synthesis of a mono-Luenberger observer for highly coupled system. To transform the nonlinear error dynamics for the induction motor into the linear parametric varying (LPV) system, the differential mean value theorem combined with the sector nonlinearity transformation has been used. Stability conditions based on the Lyapunov function lead to solvability of a set of linear matrix inequalities. The proposed observer guarantees the global exponential convergence to zero of the estimation error. Finally, the simulation results are given to show the performance of the observer design.

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Authors and Affiliations

  1. MSE Laboratory, Department of Electrical Engineering, University of Biskra, BP 145, Biskra, 07000, Algeria

    Mohamed Yacine Hammoudi & Abdelkarim Allag

  2. FCLab, University of Technology of Belfort-Montbéliard, CNRS 3539, Femto-ST UMR 6174, Belfort, 90010, France

    Mohamed Becherif

  3. LBMS, University of Brest, Kergoat street, CS 93837, 29238, Brest Cedex 3, France

    Mohamed Benbouzid

  4. Ecole militaire polytechnique, UER ELT, Algiers, 1611, Algeria

    Hamza Alloui

Authors
  1. Mohamed Yacine Hammoudi
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  2. Abdelkarim Allag
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  3. Mohamed Becherif
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  4. Mohamed Benbouzid
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  5. Hamza Alloui
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Correspondence to Mohamed Yacine Hammoudi.

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Hammoudi, M.Y., Allag, A., Becherif, M. et al. Observer design for induction motor: an approach based on the mean value theorem. Front. Energy 8, 426–433 (2014). https://doi.org/10.1007/s11708-014-0314-x

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  • DOI: https://doi.org/10.1007/s11708-014-0314-x

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