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Pregled bibliografske jedinice broj: 1185041

Flux Estimator for Salient Pole Synchronous Machines Driven by the Cycloconverter Based on Enhanced Current and Voltage Model of the Machine with Fuzzy Logic Transition


Cikač, Dominik; Turk, Nikola; Bulić, Neven; Stefano Barbanti
Flux Estimator for Salient Pole Synchronous Machines Driven by the Cycloconverter Based on Enhanced Current and Voltage Model of the Machine with Fuzzy Logic Transition // MDPI - Machines, 9 (2021), 11; 279, 279 (međunarodna recenzija, članak, znanstveni)


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Naslov
Flux Estimator for Salient Pole Synchronous Machines Driven by the Cycloconverter Based on Enhanced Current and Voltage Model of the Machine with Fuzzy Logic Transition

Autori
Cikač, Dominik ; Turk, Nikola ; Bulić, Neven ; Stefano Barbanti

Izvornik
MDPI - Machines (2075-1702) 9 (2021), 11; 279, 279

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

Ključne riječi
salient pole synchronous machine ; flux estimation ; cycloconverter drive ; current and voltage model of the machine ; fuzzy logic approach

Sažetak
Flux estimation is a key feature of the field-oriented control for the electrically excited synchronous machine which enables the high-performance, high-dynamic drive behavior. In this work, an electrically excited synchronous machine flux estimator based on a current and voltage model is proposed. In this case, the transition between the estimators is done with a fuzzy logic set of rules. The flux estimator based on the current model of the machine in this paper considers the saturation and cross-coupling effect in both axis and it is suitable for applications where a limited amount of the machine data is available. The flux estimator based on the voltage model is specially designed for the drives where high voltage and current ripple is present under normal operating conditions, e.g., like in cycloconverter applications. To exploit all the advantages of both models, a fuzzy logic transition is proposed based on multiple choices which manages the transition between the models based on a speed and torque reference. The proposed flux estimator is experimentally verified on a cycloconverter fed salient-pole electrically excited synchronous machine. The experimental results clearly show that the proposed flux estimator enables the accurate and stable operating conditions for different operating points of the cycloconverter-fed salient-pole electrically excited synchronous machine.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo



POVEZANOST RADA


Profili:

Avatar Url Neven Bulić (autor)

Avatar Url Nikola Turk (autor)

Avatar Url Dominik Cikač (autor)


Citiraj ovu publikaciju:

Cikač, Dominik; Turk, Nikola; Bulić, Neven; Stefano Barbanti
Flux Estimator for Salient Pole Synchronous Machines Driven by the Cycloconverter Based on Enhanced Current and Voltage Model of the Machine with Fuzzy Logic Transition // MDPI - Machines, 9 (2021), 11; 279, 279 (međunarodna recenzija, članak, znanstveni)
Cikač, D., Turk, N., Bulić, N. & Stefano Barbanti (2021) Flux Estimator for Salient Pole Synchronous Machines Driven by the Cycloconverter Based on Enhanced Current and Voltage Model of the Machine with Fuzzy Logic Transition. MDPI - Machines, 9 (11), 279, 279.
@article{article, author = {Cika\v{c}, Dominik and Turk, Nikola and Buli\'{c}, Neven}, year = {2021}, pages = {279}, chapter = {279}, keywords = {salient pole synchronous machine, flux estimation, cycloconverter drive, current and voltage model of the machine, fuzzy logic approach}, journal = {MDPI - Machines}, volume = {9}, number = {11}, issn = {2075-1702}, title = {Flux Estimator for Salient Pole Synchronous Machines Driven by the Cycloconverter Based on Enhanced Current and Voltage Model of the Machine with Fuzzy Logic Transition}, keyword = {salient pole synchronous machine, flux estimation, cycloconverter drive, current and voltage model of the machine, fuzzy logic approach}, chapternumber = {279} }
@article{article, author = {Cika\v{c}, Dominik and Turk, Nikola and Buli\'{c}, Neven}, year = {2021}, pages = {279}, chapter = {279}, keywords = {salient pole synchronous machine, flux estimation, cycloconverter drive, current and voltage model of the machine, fuzzy logic approach}, journal = {MDPI - Machines}, volume = {9}, number = {11}, issn = {2075-1702}, title = {Flux Estimator for Salient Pole Synchronous Machines Driven by the Cycloconverter Based on Enhanced Current and Voltage Model of the Machine with Fuzzy Logic Transition}, keyword = {salient pole synchronous machine, flux estimation, cycloconverter drive, current and voltage model of the machine, fuzzy logic approach}, chapternumber = {279} }

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
    • Emerging Sources Citation Index (ESCI)
  • Scopus





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