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

被引：97
|
作者：
Pinto, Joao O.P. [1 ]
Bose, Bimal K. [1 ]
Borges da Silva, Luiz Eduardo [1 ]
Kazmierkowski, Marian P. [1 ]
机构：
[1] Univ of Tennessee, Knoxville, United States
来源：
| 1628年 / IEEE, Piscataway, NJ, United States卷 / 36期
关键词：
Algorithms - Induction motors - Microprocessor chips - Neural networks - Pulse width modulation;
D O I：
10.1109/28.887215
中图分类号：
学科分类号：
摘要：
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 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.
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