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http://yadda.icm.edu.pl:80/baztech/element/bwmeta1.element.baztech-8be1fba5-c3ca-4a46-823a-976b545fa174

Czasopismo

Journal of Power of Technologies

Tytuł artykułu

Control Neuro-Fuzzy of a dual star induction machine (DSIM) supplied by five-level inverter

Autorzy Bentouhami, L.  Abdessemed, R.  Kessal, A.  Merabeta, E. 
Treść / Zawartość http://www.papers.itc.pw.edu.pl
Warianty tytułu
Języki publikacji EN
Abstrakty
EN This work relates to a hybrid scheme (Neuro-Fuzzy) for speed control of a dual star induction motor (DSIM) with enhanced performance. A 4-layer network is utilized to set the Fuzzy elements in order to minimize error square. To control this machine, two five-level inverters with PWM techniques are introduced and an indirect field oriented method is used. Simulation results are presented for the NF controller; it is observed that the NFC gives better responses and robustness for the speed control of this machine with its load disturbances and parameter variations, such as increased rotor resistance and moment of inertia. The results are compared with results obtained from a conventional inverter. Notably, there is a great drop in the stator currents, and the magnitude of the pulsating electromagnetic torque is reduced for a five-level inverter compared with a conventional inverter.
Słowa kluczowe
PL DSIM   silnik indukcyjny   IFOC   pośrednie sterowanie polowo zorientowane   falownik pięciopoziomowy   NFC   regulatory neuronowo-rozmyte  
EN DSIM   dual star induction machine   IFOC   indirect field oriented control   five-level inverter   NFC   neuro-fuzzy controllers  
Wydawca Institute of Heat Engineering, Warsaw University of Technology
Czasopismo Journal of Power of Technologies
Rocznik 2018
Tom Vol. 98, nr 1
Strony 70--79
Opis fizyczny Bibliogr. 27 poz., rys., tab., wykr.
Twórcy
autor Bentouhami, L.
  • Faculty of Sciences & Technology, Bordj Bou Arreridj University, Algeria
  • LEB-Research Laboratory, Department of Electrical Engineering, University of Mostapha ben Boulaid, Batna-2, Algeria
autor Abdessemed, R.
  • LEB-Research Laboratory, Department of Electrical Engineering, University of Mostapha ben Boulaid, Batna-2, Algeria
autor Kessal, A.
autor Merabeta, E.
  • Faculty of Sciences & Technology, Bordj Bou Arreridj University, Algeria
  • LEB-Research Laboratory, Department of Electrical Engineering, University of Mostapha ben Boulaid, Batna-2, Algeria
Bibliografia
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Uwagi
PL Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
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