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BÁRTA, J. KNEBL, L. VÍTEK, O. BRAMERDORFER, G. SILBER, S.
Originální název
Optimization of Line-Start Synchronous Reluctance Machine Amended From an Induction Machine
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
The topic of this paper is to investigate the achievable performance of the Line-Start Synchronous Reluctance Machine (LSSRM) designed by replacing the rotor of a conventional induction machine. The selected induction machine for the rotor replacement is a general purpose low-power induction machine. The rotor of this machine is replaced by a rotor of LSSRM. Consequently, the optimization scenario is defined in a way that only the rotor parameters are modified. Objectives are efficiency, power factor and torque ripple of the machine. To reduce production cost, skewing of the stator and rotor is not considered. The optimal geometry of the LSSRM rotor is found by applying an evolutionary algorithm. The considered LSSRM features a rotor were flux barriers and cage bars are located in separate zones. The results of the optimization together with electromagnetic analysis for optimal design are illustrated. The presented approach, which can be adopted for any design of LSSRM, is demonstrating the achievable performance facilitated by simple replacement of the induction machine rotor.
Klíčová slova
Synchronous reluctance machine; direct-on-line; Optimization; Rotors
Autoři
BÁRTA, J.; KNEBL, L.; VÍTEK, O.; BRAMERDORFER, G.; SILBER, S.
Vydáno
26. 8. 2020
Nakladatel
IEEE
Místo
New York
ISBN
978-1-7281-9945-0
Kniha
USB Proceedings2020 International Conference onElectrical Machines (ICEM)
Strany od
272
Strany do
277
Strany počet
6
URL
https://ieeexplore.ieee.org/document/9270722
BibTex
@inproceedings{BUT165908, author="Jan {Bárta} and Ladislav {Knebl} and Ondřej {Vítek} and Gerd {Bramerdorfer} and Siegfried {Silber}", title="Optimization of Line-Start Synchronous Reluctance Machine Amended From an Induction Machine", booktitle="USB Proceedings2020 International Conference onElectrical Machines (ICEM)", year="2020", pages="272--277", publisher="IEEE", address="New York", doi="10.1109/ICEM49940.2020.9270722", isbn="978-1-7281-9945-0", url="https://ieeexplore.ieee.org/document/9270722" }