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01.08.2013 | Ausgabe 4/2013

International Journal of Automation and Computing 4/2013

Robust Sliding Mode Control Using Adaptive Switching Gain for Induction Motors

Zeitschrift:
International Journal of Automation and Computing > Ausgabe 4/2013
Autoren:
K. Jamoussi, M. Ouali, L. Chrifi-Alaoui, H. Benderradji, A. El Hajjaji
Wichtige Hinweise
K. Jamoussi received his Ph.D. degree in electrical engineering from National Engineering School of Sfax, Tunisia in 2012. Now, he is technologist in electrical genus and industrial computer sciences, in the High Institute of a Technological Studies. He is currently a researcher at Computer and Embedded System Laboratory (CES), National School of Engineers of Sfax, Tunisia.
His research interests include sliding mode control and control algorithm implementation on calculators.
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).
H. Benderradji received the B. Sc and M. Sc. degrees in electrical engineering from the Electrical Engineering Institute, Batna University, Algeria in 1993 and 2004, respectively. She joined the University of Pi-cardie, Jules Verne to prepare Ph. D. degree in electrical engineering, and she received the Ph. D. degree in electrical engineering from the Batna University, Algeria in 2013.After graduation, she joined the University of M’ila, Algeria, where she is an associate professor in the Electrical Engineering Institute.
Her research interests include advanced control techniques in the field of AC drives.
A. El Hajjaji received the Ph. D. degree in automatic control from the University of Picardie Jules Verne, France in 1993. From 1994 to 2003, he was an associate professor with the University of Picardie Jules Verne, where he is currently a full professor and the director of the Professional Institute of Electrical Engineering and Industrial Computing, and has been the head of the research team of control and vehicles with the Modelling, Information, and Systems Laboratory since 2001.
His research interests include fuzzy control, vehicle dynamics, fault-tolerant control, neural networks, maglev systems, and renewable energy.
M. Ouali received his Ph.D. degree in electrical engineering from University of Sfax, Tunisia in 1977. He became an associate professor at the University of Sfax, Tunisa in 1979. And he was a researcher at Electrical Motor Control and Power Electrical Networks Laboratory from 1985 to 2009. He is currently a researcher at Computer and Embedded System Laboratory. He is currently a professor in National School of Engineers of Sfax, Tunisia.
His research interests include robust control, motor control, and digital signal processor implementation.

Abstract

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 closed-loop 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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