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A Global Stability of Linearizing Control of Induction Motor for PV Water Pumping Application

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  • Meziane Salima

    (Department of Electrical Engineering, Souk Ahras University Algeria & Laboratory of Electrotechnics and Renewable Energy LEER, Souk Ahras University, Algeria)

  • Atarsia Loubna

    (Oum El Bouaghi University, Oum El Bouaghi, Algeria)

  • Toufouti Riad

    (Department of Electrical Engineering, Souk Ahras University Algeria & Laboratory of Electrotechnics and Renewable Energy LEER, Souk Ahras University, Algeria)

Abstract

This article describes how a field oriented control can provide the same performance as it is achieved by a DC motor. However, this technique requires a mechanic sensor and is very sensitive to the variation of motor parameters which results in an undesirable coupling between the flux and the torque. To solve these problems, this paper proposes a global stability and robust nonlinear controller, applied to induction motor (IM), in order to achieve an exact decoupling between speed and flux for all motor operating conditions. The induction motor is coupled with a centrifugal hydraulic pump, powered by a photovoltaic array speeding system. The proposed system is designed for usage in rural areas or remote electricity needs in absence of the grid network. A nonlinear controller adjusts the motor speed reference to attain the maximum power point (MPPT). In presence of rotor and stator resistances and irradiation disturbance the results obtained by simulations confirm the effectiveness of the proposed method.

Suggested Citation

  • Meziane Salima & Atarsia Loubna & Toufouti Riad, 2018. "A Global Stability of Linearizing Control of Induction Motor for PV Water Pumping Application," International Journal of System Dynamics Applications (IJSDA), IGI Global, vol. 7(3), pages 31-56, July.
    • Handle: RePEc:igg:jsda00:v:7:y:2018:i:3:p:31-56
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    Cited by:

    1. Jaffar Seyyed Esmaeili & Abdullah Başçi, 2021. "Design and Implementation of LMI-Based H2 Control for Vertical Nonlinear Coupled-Tank System," International Journal of System Dynamics Applications (IJSDA), IGI Global, vol. 10(4), pages 1-16, October.
    2. Aniket Agarwal & Kirti Pal, 2021. "Optimization of Unit Commitment Problem Using Genetic Algorithm," International Journal of System Dynamics Applications (IJSDA), IGI Global, vol. 10(3), pages 21-37, July.

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