A Neural-Network-Based Space-Vector PWM Controller for Voltage-Fed Inverter Inducti
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25-09-2010, 05:59 PM

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A Neural-Network-Based Space-Vector
PWM Controller for Voltage-Fed
Inverter Induction Motor Drive


neural-network-based implementation of
space-vector modulation (SVM) of a voltage-fed inverter has been
proposed in this paper that fully covers the undermodulation and
overmodulation regions linearly extending operation smoothly
up to square wave. A neural network has the advantage of very
fast implementation of an SVM algorithm that can increase the
converter switching frequency, particularly when a dedicated application-
specific integrated circuit chip is used in the modulator.
The scheme has been fully implemented and extensively evaluated
in a V/Hz-controlled 5-hp 60-Hz 230-V induction motor drive. The
performances of the drive with artificial-neural-network-based
SVM are excellent. The scheme can be easily extended to a
vector-controlled drive.
Index Terms—Drive, induction motor, neural


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