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Pregled bibliografske jedinice broj: 366149

Stator resistance tuning based on a neural network in an indirect rotor field oriented control system of an induction motor


Vukadinović, Dinko; Bašić, Mateo; Kulišić, Ljubomir
Stator resistance tuning based on a neural network in an indirect rotor field oriented control system of an induction motor // Knowledge-Based Intelligent Information and Engineering Systems / Lovrek, Ignac ; Howlett, Robert J. ; Jain, Lakhmi C. (ur.).
Heidelberg: Springer, 2008. str. 658-665


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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
Vukadinović, Dinko ; Bašić, Mateo ; Kulišić, Ljubomir

Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni

Knjiga
Knowledge-Based Intelligent Information and Engineering Systems

Urednik/ci
Lovrek, Ignac ; Howlett, Robert J. ; Jain, Lakhmi C.

Izdavač
Springer

Grad
Heidelberg

Godina
2008

Raspon stranica
658-665

ISBN
978-3-540-85562-0

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
DOI: 10.1007/978-3-540-85563-7 ; 12th International Conference KES 2008 : Proceedings. Part I. ; Zagreb, Hrvatska ; 03.-05.09.2008. ; ISSN 0302-9743



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

Citiraj ovu publikaciju:

Vukadinović, Dinko; Bašić, Mateo; Kulišić, Ljubomir
Stator resistance tuning based on a neural network in an indirect rotor field oriented control system of an induction motor // Knowledge-Based Intelligent Information and Engineering Systems / Lovrek, Ignac ; Howlett, Robert J. ; Jain, Lakhmi C. (ur.).
Heidelberg: Springer, 2008. str. 658-665
Vukadinović, D., Bašić, M. & Kulišić, L. (2008) Stator resistance tuning based on a neural network in an indirect rotor field oriented control system of an induction motor. U: Lovrek, I., Howlett, R. & Jain, L. (ur.) Knowledge-Based Intelligent Information and Engineering Systems. Heidelberg, Springer, str. 658-665.
@inbook{inbook, author = {Vukadinovi\'{c}, Dinko and Ba\v{s}i\'{c}, Mateo and Kuli\v{s}i\'{c}, Ljubomir}, year = {2008}, pages = {658-665}, keywords = {induction motor, indirect field-oriented control, neural network, adaptive control}, isbn = {978-3-540-85562-0}, title = {Stator resistance tuning based on a neural network in an indirect rotor field oriented control system of an induction motor}, keyword = {induction motor, indirect field-oriented control, neural network, adaptive control}, publisher = {Springer}, publisherplace = {Heidelberg} }
@inbook{inbook, author = {Vukadinovi\'{c}, Dinko and Ba\v{s}i\'{c}, Mateo and Kuli\v{s}i\'{c}, Ljubomir}, year = {2008}, pages = {658-665}, keywords = {induction motor, indirect field-oriented control, neural network, adaptive control}, isbn = {978-3-540-85562-0}, title = {Stator resistance tuning based on a neural network in an indirect rotor field oriented control system of an induction motor}, keyword = {induction motor, indirect field-oriented control, neural network, adaptive control}, publisher = {Springer}, publisherplace = {Heidelberg} }




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