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Online robust estimation of flux and load torque in induction motors

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Abstract

This paper presents a comparative study between two methods dedicated to the robust estimation of load torque and flux of induction motors (IM). The developed approaches rely on the adaptive Luenberger observer theory. The first method is based on the development of a Takagi-Sugeno Adaptive Luenberger Observer. In order to enhance the dynamic of the load torque estimation, a second method is presented using a Takagi-Sugeno Fast Adaptive Luenberger Observer approach. Sufficient conditions are presented to ensure the asymptotic convergence of the flux and the load torque estimation errors. Moreover, robustness performances are considered in order to minimize the impact of the rotor resistance variations on the quality of the estimation. Experiments were carried out to illustrate the effectiveness and the robustness of the proposed results and to show the advantages and limitations of each method.

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Abbreviations

i s α , i s β :

Stator currents.

Ψ r α , Ψ r β :

Rotor flux.

v s α , v s β :

Stator voltages.

R s :

Stator resistances.

R r (t), R r :

Real and nominal rotor resistances.

L s , L r :

Stator and rotor inductance.

M :

Mutual inductance.

s :

Leakage coefficient.

ω(t):

Motor angular velocity.

ω :

Synchronous angular velocity.

f :

Friction constant.

J :

Moment of inertia.

T l (t):

Applied load torque.

n p :

Number of poles pairs.

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Authors and Affiliations

  1. International Energy Research Centre (IERC), Tyndall National Institute, Cork, Ireland

    Mohamed Bahloul

  2. Laboratory of Science and technique of Automatic Control and Computer Engineering (Lab-STA) National Engineering School of Sfax, Sfax, Tunisia

    Mohamed Bahloul & Mohamed Chaabane

  3. Laboratory of Innovative Technology, University of Picardie Jules Verne, Cuffies, France

    Larbi Chrifi-Alaoui

  4. Universidade Tecnológica Federal do Paraná - UTFPR, Cornélio Procópio, PR, Brazil

    Alessandro N. Vargas

  5. Laboratory of induction and propulsion systems, University of Batna, Batna, Algeria

    Said Drid

Authors
  1. Mohamed Bahloul
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  2. Larbi Chrifi-Alaoui
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  3. Alessandro N. Vargas
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  4. Mohamed Chaabane
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  5. Said Drid
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Correspondence to Mohamed Bahloul.

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Bahloul, M., Chrifi-Alaoui, L., Vargas, A.N. et al. Online robust estimation of flux and load torque in induction motors. Int J Adv Manuf Technol 94, 2703–2713 (2018). https://doi.org/10.1007/s00170-017-1049-8

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  • DOI: https://doi.org/10.1007/s00170-017-1049-8

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