Stator Resistance Identification based on Neural and Fuzzy Logic Principles in an Induction Motor Drive

Vukadinović, Dinko; Bašić, Mateo; Kulišić, Ljubomir

Pregled bibliografske jedinice broj: 373763

Stator Resistance Identification based on Neural and Fuzzy Logic Principles in an Induction Motor Drive

Vukadinović, Dinko; Bašić, Mateo; Kulišić, Ljubomir

Stator Resistance Identification based on Neural and Fuzzy Logic Principles in an Induction Motor Drive // Neurocomputing, 73 (2010), 4-6; 602-612 (međunarodna recenzija, članak, znanstveni)

CROSBI ID: 373763 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Stator Resistance Identification based on Neural and Fuzzy Logic Principles in an Induction Motor Drive

Autori
Vukadinović, Dinko ; Bašić, Mateo ; Kulišić, Ljubomir

Izvornik
Neurocomputing (0925-2312) 73 (2010), 4-6; 602-612

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
induction motor; indirect field-oriented control; neural network; adaptive control; fuzzy logic

Sažetak
This paper presents a method for stator resistance identification of an induction motor in an indirect rotor field oriented control system. This method is based on a simple artificial neural network, in which the rotor time constant is no longer considered to be a constant parameter, but is instead identified using an adaptive model reference system-based procedure. The neural network outputs the estimated rotor speed. The difference between the actual and the estimated rotor speed is used as a signal for either manual or automated fuzzy logic stator resistance identification. Simulations and experiments show the effectiveness of the described approach.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

Napomena
Special papers: Design and Application of Neural Networks and Intelligent Learning Systems (KES 2008) Guest Editors: Dipti Srinivasan, Robert J. Howlett, Ignac Lovrek, Lakhmi C. Jain, Chee-Peng Lim.

POVEZANOST RADA

Projekti:
023-0000000-3271 - Razvoj naprednih algoritama za modeliranje elektromagnetskih pojava (Vujević, Slavko, MZOS ) ( CroRIS)
036-0362978-2314 - Pretvarači povećane djelotvornosti u sučelju obnovljivih izvora i mreže (Jakopović, Željko, MZO ) ( CroRIS)

Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split

Profili:

Ljubomir Kulišić (autor)