Application of neural networks to the optimal control of three-phase voltage-controlled inverters

Author

Trzynadlowski, Andrzej M. ; Legowski, Stanislaw

Author_Institution

Dept. of Electr. Eng., Nevada Univ., Reno, NV, USA

Volume

9

Issue

4

fYear

1994

fDate

7/1/1994 12:00:00 AM

Firstpage

397

Lastpage

404

Abstract

A novel concept of application of neural networks for generation of optimal switching patterns in voltage-controlled inverters is described. The pulsewidth modulator (PWM), based on hardware analog neural networks, responds with high accuracy to any desired value of the modulation index. No microprocessor or large memory typical for the existing optimal PWM schemes is required. Theoretical analysis of the proposed so-called sparse neural network is provided, and experimental results that confirm the high performance and technical advantages of the developed modulator are presented

Keywords

neural nets; optimal control; power convertors; power engineering computing; pulse width modulation; switching circuits; voltage control; PWM; hardware analog neural networks; modulation index; neural networks; optimal control; pulsewidth modulator; sparse neural network; three-phase voltage-controlled inverters; Artificial neural networks; Frequency; Microprocessors; Neural networks; Optimal control; Pulse inverters; Pulse width modulation; Pulse width modulation inverters; Space vector pulse width modulation; Voltage;

fLanguage

English

Journal_Title

Power Electronics, IEEE Transactions on

Publisher

ieee

ISSN

0885-8993

Type

jour

DOI

10.1109/63.318898

Filename

318898