Pregled bibliografske jedinice broj: 364624
Stator resistance tuning based on a neural network in an indirect rotor field oriented control system of an induction motor
Stator resistance tuning based on a neural network in an indirect rotor field oriented control system of an induction motor // Proceedings of the 12th International Conference (KES 2008) : Knowledge-Based intelligent information and engineering systems. Part I. / Lovrek, Ignac ; Howlett , Robert J. ; Jain, Lakhmi C. (ur.).
Heidelberg: Springer, 2008. str. 658-665 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Stator resistance tuning based on a neural network in an indirect rotor field oriented control system of an induction motor
Autori
Vukadinovic, Dinko ; Bašić, Mateo ; Kulišić, Ljubomir
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 12th International Conference (KES 2008) : Knowledge-Based intelligent information and engineering systems. Part I.
/ Lovrek, Ignac ; Howlett , Robert J. ; Jain, Lakhmi C. - Heidelberg : Springer, 2008, 658-665
ISBN
978-3-540-85562-0
Skup
International Conference (12 ; 2008)
Mjesto i datum
Zagreb, Hrvatska, 03.09.2008. - 05.09.2008
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
induction motor; indirect field-oriented control; neural network; adaptive control
Sažetak
This paper presents an ANN-based (artificial neural network-based)method of stator resistance tuning in an IRFO (indirect rotor field oriented) control system of an induction motor. This method is based on the conventional two-layer ANN in which the rotor time constant is not a constant parameter and is identified using a model reference adaptive system (MRAS)- based procedure. During the training, rotor speed estimation of the induction motor is enabled. The difference between the actual and the estimated rotor speed is used as a signal for manual stator resistance tuning. Computer simulations and experimental results show the effectiveness of the described approach in a low rotor speed region.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
Napomena
Lecture Notes in Computer Science. Vol. 5177
POVEZANOST RADA
Projekti:
023-0000000-3271 - Razvoj naprednih algoritama za modeliranje elektromagnetskih pojava (Vujević, Slavko, MZOS ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split
