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Pregled bibliografske jedinice broj: 1030546

Speed-sensorless vector control of an induction generator including stray load and iron losses and online parameter tuning


Bašić, Mateo; Vukadinović, Dinko; Grgić, Ivan; Bubalo, Matija
Speed-sensorless vector control of an induction generator including stray load and iron losses and online parameter tuning // IEEE transactions on energy conversion, 35 (2020), 2; 724-732 doi:10.1109/TEC.2019.2952666 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1030546 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Speed-sensorless vector control of an induction generator including stray load and iron losses and online parameter tuning

Autori
Bašić, Mateo ; Vukadinović, Dinko ; Grgić, Ivan ; Bubalo, Matija

Izvornik
IEEE transactions on energy conversion (0885-8969) 35 (2020), 2; 724-732

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

Ključne riječi
Induction machine ; Iron loss ; MRAS estimator ; Parameter tuning ; Sensorless vector control ; Stray load loss

Sažetak
Field-oriented control (FOC) is standardly used in high-performance induction machine (IM) applications. However, the performance of FOC algorithms strongly depends on the level of agreement between the actual IM and the respective model used for the algorithm design. IM parameters’ values are known to vary with the operating conditions, so their online identification is preferable. In addition, it is often preferred to acquire the rotor speed by estimation because speed sensors increase the cost and size of the system while reducing its reliability. Model-reference-adaptive- system (MRAS) estimators are popular due to their simple implementation, but they are sensitive to IM parameters and, hence, usually include a parameter tuning mechanism. This paper proposes an indirect rotor- field- oriented controller with the parallel MRAS speed estimation and IM parameter tuning – implemented in an induction generator system. Both the control algorithm and the MRAS include the stray load and iron losses, magnetic saturation, and rotor resistance variation, whereas the MRAS additionally accounts for variations of the stator and stray-load resistances. The system performance is experimentally evaluated over wide ranges of the IM flux, speed, torque, and temperature.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Projekti:
HRZZ-IP-2016-06-3319 - Sustav vjetar-sunce za optimiziranu proizvodnju električne energije u rezidencijalnim objektima (WINDSOR) (Vukadinović, Dinko, HRZZ - 2016-06) ( CroRIS)

Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split

Profili:

Avatar Url Dinko Vukadinović (autor)

Avatar Url Ivan Grgić (autor)

Avatar Url Matija Bubalo (autor)

Avatar Url Mateo Bašić (autor)

Poveznice na cjeloviti tekst rada:

doi ieeexplore.ieee.org

Citiraj ovu publikaciju:

Bašić, Mateo; Vukadinović, Dinko; Grgić, Ivan; Bubalo, Matija
Speed-sensorless vector control of an induction generator including stray load and iron losses and online parameter tuning // IEEE transactions on energy conversion, 35 (2020), 2; 724-732 doi:10.1109/TEC.2019.2952666 (međunarodna recenzija, članak, znanstveni)
Bašić, M., Vukadinović, D., Grgić, I. & Bubalo, M. (2020) Speed-sensorless vector control of an induction generator including stray load and iron losses and online parameter tuning. IEEE transactions on energy conversion, 35 (2), 724-732 doi:10.1109/TEC.2019.2952666.
@article{article, author = {Ba\v{s}i\'{c}, Mateo and Vukadinovi\'{c}, Dinko and Grgi\'{c}, Ivan and Bubalo, Matija}, year = {2020}, pages = {724-732}, DOI = {10.1109/TEC.2019.2952666}, keywords = {Induction machine, Iron loss, MRAS estimator, Parameter tuning, Sensorless vector control, Stray load loss}, journal = {IEEE transactions on energy conversion}, doi = {10.1109/TEC.2019.2952666}, volume = {35}, number = {2}, issn = {0885-8969}, title = {Speed-sensorless vector control of an induction generator including stray load and iron losses and online parameter tuning}, keyword = {Induction machine, Iron loss, MRAS estimator, Parameter tuning, Sensorless vector control, Stray load loss} }
@article{article, author = {Ba\v{s}i\'{c}, Mateo and Vukadinovi\'{c}, Dinko and Grgi\'{c}, Ivan and Bubalo, Matija}, year = {2020}, pages = {724-732}, DOI = {10.1109/TEC.2019.2952666}, keywords = {Induction machine, Iron loss, MRAS estimator, Parameter tuning, Sensorless vector control, Stray load loss}, journal = {IEEE transactions on energy conversion}, doi = {10.1109/TEC.2019.2952666}, volume = {35}, number = {2}, issn = {0885-8969}, title = {Speed-sensorless vector control of an induction generator including stray load and iron losses and online parameter tuning}, keyword = {Induction machine, Iron loss, MRAS estimator, Parameter tuning, Sensorless vector control, Stray load loss} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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