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: N. Pothi, S. Premrudeepreechacharn, C. Rakpenthai
Format: Conference Proceeding
Published: 2018
Subjects:
Engineering
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=49949092811&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/61069
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-610692018-09-10T04:03:37Z Voltage losses compensation using artificial neural network for estimation nonlinear characteristic of switches N. Pothi S. Premrudeepreechacharn C. Rakpenthai Engineering 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. 2018-09-10T04:03:37Z 2018-09-10T04:03:37Z 2007-12-01 Conference Proceeding 2-s2.0-49949092811 10.1109/PEDS.2007.4487828 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=49949092811&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/61069
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Engineering
spellingShingle Engineering
N. Pothi
S. Premrudeepreechacharn
C. Rakpenthai
Voltage losses compensation using artificial neural network for estimation nonlinear characteristic of switches
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 Proceeding
author N. Pothi
S. Premrudeepreechacharn
C. Rakpenthai
author_facet N. Pothi
S. Premrudeepreechacharn
C. Rakpenthai
author_sort N. Pothi
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 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=49949092811&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/61069
_version_ 1681425552373710848

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