Voltage losses compensation using artificial neural network for estimation nonlinear characteristic of switches

Voltage losses compensation using artificial neural network for estimation nonlinear characteristic of switches

This paper presents the voltage losses compensation technique for three-phase inverter by considering nonlinear characteristic of switches, dead time, and turn on/off delay. An artificial neural network (ANN) is employed to estimate the nonlinear characteristic of switches. The compensation method i...

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Main Authors: Pothi N., Premrudeepreechacharn S., Rakpenthai C.
Format: Conference or Workshop Item
Language:English
Published: 2014
Online Access:http://www.scopus.com/inward/record.url?eid=2-s2.0-49949092811&partnerID=40&md5=ba611103b1bf79565189e75a16cb3a4d
http://cmuir.cmu.ac.th/handle/6653943832/1310
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Institution: Chiang Mai University
Language: English
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spelling th-cmuir.6653943832-13102014-08-29T09:29:07Z Voltage losses compensation using artificial neural network for estimation nonlinear characteristic of switches Pothi N. Premrudeepreechacharn S. Rakpenthai C. This paper presents the voltage losses compensation technique for three-phase inverter by considering nonlinear characteristic of switches, dead time, and turn on/off delay. An artificial neural network (ANN) is employed to estimate the nonlinear characteristic of switches. The compensation method improves the modulation index of the open-loop Space Vector Pulse Width Modulation Voltage-Source Inverter (SVPWM-VSI) performing on the constant V/f control technique. DSP TMS320LF2407 was used to control the effect of the voltage losses on the efficiency. The principle is explained qualitatively and extensive experiments have been carried out to verify the propose method. © 2007 IEEE. 2014-08-29T09:29:07Z 2014-08-29T09:29:07Z 2007 Conference Paper 1424406455; 9781424406456 10.1109/PEDS.2007.4487828 73040 85RTA http://www.scopus.com/inward/record.url?eid=2-s2.0-49949092811&partnerID=40&md5=ba611103b1bf79565189e75a16cb3a4d http://cmuir.cmu.ac.th/handle/6653943832/1310 English
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
language English
description This paper presents the voltage losses compensation technique for three-phase inverter by considering nonlinear characteristic of switches, dead time, and turn on/off delay. An artificial neural network (ANN) is employed to estimate the nonlinear characteristic of switches. The compensation method improves the modulation index of the open-loop Space Vector Pulse Width Modulation Voltage-Source Inverter (SVPWM-VSI) performing on the constant V/f control technique. DSP TMS320LF2407 was used to control the effect of the voltage losses on the efficiency. The principle is explained qualitatively and extensive experiments have been carried out to verify the propose method. © 2007 IEEE.
format Conference or Workshop Item
author Pothi N.
Premrudeepreechacharn S.
Rakpenthai C.
spellingShingle Pothi N.
Premrudeepreechacharn S.
Rakpenthai C.
Voltage losses compensation using artificial neural network for estimation nonlinear characteristic of switches
author_facet Pothi N.
Premrudeepreechacharn S.
Rakpenthai C.
author_sort Pothi N.
title Voltage losses compensation using artificial neural network for estimation nonlinear characteristic of switches
title_short Voltage losses compensation using artificial neural network for estimation nonlinear characteristic of switches
title_full Voltage losses compensation using artificial neural network for estimation nonlinear characteristic of switches
title_fullStr Voltage losses compensation using artificial neural network for estimation nonlinear characteristic of switches
title_full_unstemmed Voltage losses compensation using artificial neural network for estimation nonlinear characteristic of switches
title_sort voltage losses compensation using artificial neural network for estimation nonlinear characteristic of switches
publishDate 2014
url http://www.scopus.com/inward/record.url?eid=2-s2.0-49949092811&partnerID=40&md5=ba611103b1bf79565189e75a16cb3a4d
http://cmuir.cmu.ac.th/handle/6653943832/1310
_version_ 1681419646716084224

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