FUZZY SLIDING MODE APPLICATION FOR INDUCTION MACHINE POSITION CONTROL

Year 2010, Volume: 10 Issue: 1, 1163 - 1172, 20.01.2012

Mohamed Abıd Abdel ghani Aıssaouı Abdel ghani Ayad Ahmed Tahour

Abstract

FUZZY SLIDING MODE APPLICATION FOR INDUCTION MACHINE POSITION CONTROL

Keywords

Induction machine , field-oriented control , robustness , fuzzy sliding mode

References

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• pp.32-37, Mohamed ABID received the B.S., M.S., and Ph.D degrees in electrical engineering from University of Sidi Bel-Abbès, Algeria, in 1990, 1997, and 2005, respectively. He is currently professor of electrical engineering and researcher in IRECOM laboratory at University of Sidi Bel- Abbès, Algeria. His mains areas of research interests are modeling and simulation of electric machines, sliding mode in continuous systems, control of electric drives.
• Abdel Ghani AISSAOUI received the B.S., M.S., and Ph.D degrees in electrical engineering from University of Sidi Bel-Abbès, Algeria, in 1993, 1997, and 2007, respectively. He is currently professor of electrical engineering at University of Bechar, Algeria. His current research interest includes power electronics and control of electrical machines.
• Ayad Abdelghani received the B.Sc. and M.Sc. degrees in electrical engineering from the University of Djillali Liabès, Sidi Bel-Abbes, in 1995 and 2003, respectively. He received his Ph.D. degree in electrical engineering from the University of Djillali Liabès, Sidi Bel-Abbès in 2009. He is now professor in the Department of Electrical Engineering at the University of Djillali Liabès. His mains areas of research interests are control of electric drives, control non destructive, compatibility and active filter of harmonic.
• Ahmed Tahour received the B.S., M.S., and Ph.D degrees in electrical engineering from University of Sidi Bel-Abbès, Algeria, in 1996, 1999, and 2007, respectively. He is currently professor of electrical engineering at University of Mascara, Algeria. His current research interest includes: application of the artificial intelligence techniques (fuzzy set, neural networks, neuro- fuzy) in control of electrical machines.