Parameter estimation of squirrel-cage motors with parasitic torques in the torque-slip curve
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Otros documentos de la autoría: Monjo, Lluís; Córcoles López, Felipe; Pedra Durán, Joaquín
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Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7034
comunitat-uji-handle3:10234/8619
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Título
Parameter estimation of squirrel-cage motors with parasitic torques in the torque-slip curveFecha de publicación
2015Editor
Institution of Engineering and TechnologyISSN
1751-8660; 1751-8679Cita bibliográfica
MONJO, Lluis; CÓRCOLES, Felipe; PEDRA, Joaquin. Parameter estimation of squirrel-cage motors with parasitic torques in the torque–slip curve. IET Electric Power Applications, 2015, vol. 9, no 5, p. 377-387.Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
http://ieeexplore.ieee.org/document/7095727/?arnumber=7095727Palabras clave / Materias
Resumen
This paper studies parasitic torques in steady-state torque-slip curves of squirrel-cage
induction motors. The curves of nine motors (small, medium and large size units), three of which
were measured in the range s ... [+]
This paper studies parasitic torques in steady-state torque-slip curves of squirrel-cage
induction motors. The curves of nine motors (small, medium and large size units), three of which
were measured in the range s = 2 to s = 0, are analyzed. The torque-slip curves of eight of these
nine motors differ significantly from the smooth curves predicted by the classical single- and
double-cage models: a torque dip at large slips in the motoring regime and a noticeable torque
increase in the braking regime occur. As parasitic torques have been traditionally associated with
space harmonics, two single-cage chain models (which consider the space harmonics) are tested to
fit the measured torque and current of the three measured motors: one neglects the skin effect,
leading to the wrong torque prediction while the other (the classical chain model in the literature)
considers the skin effect, leading to an accurate torque prediction. [-]
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IET Electric Power Applications, 2015, vol. 9, núm. 5Derechos de acceso
© The Institution of Engineering and Technology 2015
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