K. Jamoussi, L. Chrifi-Alaoui, H. Benderradji, A. El Hajjaji and M. Ouali. Robust Sliding Mode Control Using Adaptive Switching Gain for Induction Motors. International Journal of Automation and Computing, vol. 10, no. 4, pp. 303-311, 2013. https://doi.org/10.1007/s11633-013-0725-x
Citation: K. Jamoussi, L. Chrifi-Alaoui, H. Benderradji, A. El Hajjaji and M. Ouali. Robust Sliding Mode Control Using Adaptive Switching Gain for Induction Motors. International Journal of Automation and Computing, vol. 10, no. 4, pp. 303-311, 2013. https://doi.org/10.1007/s11633-013-0725-x

Robust Sliding Mode Control Using Adaptive Switching Gain for Induction Motors

doi: 10.1007/s11633-013-0725-x
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  • Author Bio:

    L. Chrifi-Alaoui received the Ph.D. degree in automatic control from the Centrale Lyon School, France. Since 1999, he has had a teaching position in automatic control in Aisne University Institute of Technology, France. From 2004 to 2010, he was the head of the Department of Electrical Engineering and Industrial Informatics, University of Picardie Jules Verne, France. His research interests include linear and non-linear control theory (including sliding mode control, adaptive control, and robust control with applications to electric drive and mecatronics systems).E-mail: larbi.alaoui@u-picardie.fr

  • Corresponding author: K. Jamoussi
  • Received Date: 2013-02-16
  • Rev Recd Date: 2013-04-16
  • Publish Date: 2013-08-01
  • A robust sliding mode approach combined with a field oriented control (FOC) for induction motor (IM) speed control is presented. The proposed sliding mode control (SMC) design uses an adaptive switching gain and an integrator. This approach guarantees the same robustness and dynamic performance of traditional SMC algorithms. And at the same time, it attenuates the chattering phenomenon, which is the main drawback in actual implementation of this technique. This approach is insensitive to uncertainties and permits to decrease the requirement for the bound of these uncertainties. The stability and robustness of the closedloop system are proven analytically using the Lyapunov synthesis approach. The proposed method attenuates the effect of both uncertainties and external disturbances. Experimental results are presented to validate the effectiveness and the good performance of the developed method.

     

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