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This paper presents a neural network approach in modeling of torque estimation and Parks d–q transformation for an open-loop induction machine. The nonlinear approximation capability of neural networks makes it possible to map the Parks d–q transformation and torque estimation in an induction motor, which would otherwise require extensive complex(More)
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