OPTIMIZED PWM INVERTER CONTROL USING ARTIFICIAL NEURAL NETWORKS

被引：11

作者：

DANIOLOS, D

DARWISH, MK

MEHTA, P

机构：

[1] Department of Electrical Engineering and Electronics, Brunei University, Middlesex, UB8 3PH, Uxbridge

来源：

ELECTRONICS LETTERS | 1995年 / 31卷 / 20期

关键词：

INVERTERS; NEURAL NETS; NEUROCONTROLLERS; PULSE WIDTH MODULATION;

D O I：

10.1049/el:19951186

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A novel method of producing optimum switching functions for the voltage and harmonic control of DC-to-AC bridge inverters using neural networks is presented. Results obtained from an experimental implementation of a neural network-based inverter system are included. The implementation does not depend on any hardware configuration and can be modified without affecting the performance.

引用

页码：1739 / 1740

页数：2

共 6 条

[1]

BOZE BK, 1994, P IEEE, V82, P1303

[2]

Hayklin S., 1994, NEURAL NETWORKS COMP, P138

[3] GENERALIZED TECHNIQUES OF HARMONIC ELIMINATION AND VOLTAGE CONTROL IN THYRISTOR INVERTERS .1. HARMONIC ELIMINATION [J].