A neural-network-based space-vector PWM controller for voltage-fed inverter induction motor drive

A 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 sm oothly up to square wave. A neural network has the advantage of very fast i mplementation of an SVM algorithm that can increase the converter switching frequency, particularly when a dedicated application-specific integrated c ircuit 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 m otor drive. The performances of the drive with artificial-neural-network-ba sed SVM are excellent. The scheme can be easily extended to a vector-contro lled drive.