2023
DOI: 10.1109/tia.2023.3327979
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Investigation of Post-Demagnetization Torque Ripple in Fractional-Slot Surface-Mounted PM Wind Power Generators after Short Circuit Faults

Yidong Du,
Zilin Dong,
Haolan Zhan
et al.
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Cited by 4 publications
(2 citation statements)
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“…Various studies are being conducted to reduce the cogging torque of wind power generators [12][13][14]. Since cogging torque is inversely proportional to the size of the LCM (least common multiple) of the number of poles and the number of slots, the cogging torque can be reduced by applying fractional slot concentrated winding (FSCW) with the number of slots per pole being one or less [15,16]. The cogging torque can be reduced by adjusting the spatial permeance difference through stator and rotor skew, the pole arc ratio of PMs, and tapering [17][18][19][20][21][22].…”
Section: Introductionmentioning
confidence: 99%
“…Various studies are being conducted to reduce the cogging torque of wind power generators [12][13][14]. Since cogging torque is inversely proportional to the size of the LCM (least common multiple) of the number of poles and the number of slots, the cogging torque can be reduced by applying fractional slot concentrated winding (FSCW) with the number of slots per pole being one or less [15,16]. The cogging torque can be reduced by adjusting the spatial permeance difference through stator and rotor skew, the pole arc ratio of PMs, and tapering [17][18][19][20][21][22].…”
Section: Introductionmentioning
confidence: 99%
“…Short circuits are one of the most critical faults in SPM machines. Although there are usually circuit breakers in the machine system, they only cut off short-circuit currents at the zero-crossing point, before which the largest transient peak current has already occurred [25]. Among the short-circuit faults, three-phase short circuits (3PSCs) and two-phase short circuits (2PSCs) are two typical types, which are usually caused by inverter failure or control faults [26][27][28].…”
Section: Introductionmentioning
confidence: 99%