Optimal Torque Angle for a Switched Brushless Doubly Fed Reluctance Machine
A brushless doubly fed reluctance machine (BDFRM) offers several advantages over a single-port machine since it requires a partially rated power converter, provides reduced maintenance, and operates without permanent magnets. A conventional design approach for BDFRMs considers equal electrical loadi...
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Veröffentlicht in: | IEEE transactions on industrial electronics (1982) 2024-08, p.1-11 |
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Sprache: | eng |
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Zusammenfassung: | A brushless doubly fed reluctance machine (BDFRM) offers several advantages over a single-port machine since it requires a partially rated power converter, provides reduced maintenance, and operates without permanent magnets. A conventional design approach for BDFRMs considers equal electrical loadings on both of its windings and a torque angle of 90o, which are an extension of typical constraints for uniform air-gap sinusoidal machines. However, these constraints in BDFRM sacrifice torque density. Accounting for effect of the rotor flux-barriers on the mean and ripple torque, the optimization framework proposes a candidate design having unequal electrical loadings and a torque angle of 117o to maximize torque density. It is shown that the optimal design is capable of producing 84% more torque as compared to the conventional design approach. This article, first, shows that a torque angle of greater than 90o is required to maximize the torque-producing component of secondary stator current using space phasors. Next, a switched-drive architecture is described that reconfigures one of the stator excitations on the fly to enable a wide-speed range operation. Online reconfiguration extends the use of BDFRM to many wide-speed range applications, such as propulsion systems, while preserving the benefit of fractionally rated power electronics. Using the switched-drive architecture can reduce the converter voltage rating by 47% as compared to the conventional-drive for the prototype BDFRM. The experimental results are provided to validate the proposed analytical approach. |
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ISSN: | 0278-0046 1557-9948 |
DOI: | 10.1109/TIE.2024.3423438 |