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A comparative performance analysis based on artificial intelligence techniques applied to three-phase induction motor drives

Amel Ramdane orcid id orcid.org/0000-0002-0153-1271 ; Electrical Engineering Department, Faculty of Technology, University of Batna, ALGERIA
Amar Betta ; Electrical Engineering Department, Faculty of Technology, University of Batna, ALGERIA
Farid Naceri ; Electrical Engineering Department, Faculty of Technology, University of Batna, ALGERIA
S. Ramdane ; Electronic Document Management, University of Le Havre, Le Havre 76600, FRANCE


Puni tekst: engleski pdf 325 Kb

str. 61-73

preuzimanja: 328

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Sažetak

In this work, we introduced a new robust hybrid control to an induction motor (IM), based on the theory of fuzzy logic and variable structure with sliding-mode control (SMC). As the variations of both control system parameters and operating conditions occur, the conventional control methods may not be satisfied further. Fuzzy tuning schemes are employed to improve control performance and to reduce chattering in the sliding mode. The combination of these two theories has given high performance and fast dynamic response with no overshoot. As it is very robust, it is insensitive to process parameters variation and external disturbances.

Ključne riječi

induction motor (IM); sliding mode control (SMC); fuzzy logic control (FLC); fuzzy logic sliding mode control (FLSMC)

Hrčak ID:

169872

URI

https://hrcak.srce.hr/169872

Datum izdavanja:

21.7.2016.

Posjeta: 1.150 *