Controlling Both the DC Boost and AC Output Voltage of Z-Source Inverter Using Neural Network Controller with Minimization of Voltage Stress Across Devices

This paper presents a method to control both the dc boost and the ac output voltage of Z-source inverter using neural network controllers. The capacitor voltage of Z-source network has been controlled linearly in order to improve the transient response of the dc boost control of the Z-source inverte...

Full description

Bibliographic Details
Main Authors: D. Arab Khaburi, H. Rostami
Format: Article
Language:English
Published: Iran University of Science and Technology 2011-03-01
Series:Iranian Journal of Electrical and Electronic Engineering
Subjects:
Online Access:http://ijeee.iust.ac.ir/browse.php?a_code=A-10-328-1&slc_lang=en&sid=1
id doaj-f1d195085ce94efb990114fa1efdf2fb
record_format Article
spelling doaj-f1d195085ce94efb990114fa1efdf2fb2020-11-24T21:14:35ZengIran University of Science and TechnologyIranian Journal of Electrical and Electronic Engineering1735-28272383-38902011-03-01716069Controlling Both the DC Boost and AC Output Voltage of Z-Source Inverter Using Neural Network Controller with Minimization of Voltage Stress Across DevicesD. Arab Khaburi0H. Rostami1 Iran University Of Science and Technology Iran University of Science and Technology This paper presents a method to control both the dc boost and the ac output voltage of Z-source inverter using neural network controllers. The capacitor voltage of Z-source network has been controlled linearly in order to improve the transient response of the dc boost control of the Z-source inverter. The peak value of the line to line ac output voltage is used to control and keep the ac output at its desired value. A modified space vector pulse-width-modulation method is also applied to control the shoot-through duty ratio for boosting dc voltage. This modified method lets the dc voltage stress across the inverter switches be minimized. The neural network control technique is verified by simulation results. The results are compared with that of the traditional PI controller.http://ijeee.iust.ac.ir/browse.php?a_code=A-10-328-1&slc_lang=en&sid=1Z-source inverter space vector neural network.
collection DOAJ
language English
format Article
sources DOAJ
author D. Arab Khaburi
H. Rostami
spellingShingle D. Arab Khaburi
H. Rostami
Controlling Both the DC Boost and AC Output Voltage of Z-Source Inverter Using Neural Network Controller with Minimization of Voltage Stress Across Devices
Iranian Journal of Electrical and Electronic Engineering
Z-source inverter
space vector
neural network.
author_facet D. Arab Khaburi
H. Rostami
author_sort D. Arab Khaburi
title Controlling Both the DC Boost and AC Output Voltage of Z-Source Inverter Using Neural Network Controller with Minimization of Voltage Stress Across Devices
title_short Controlling Both the DC Boost and AC Output Voltage of Z-Source Inverter Using Neural Network Controller with Minimization of Voltage Stress Across Devices
title_full Controlling Both the DC Boost and AC Output Voltage of Z-Source Inverter Using Neural Network Controller with Minimization of Voltage Stress Across Devices
title_fullStr Controlling Both the DC Boost and AC Output Voltage of Z-Source Inverter Using Neural Network Controller with Minimization of Voltage Stress Across Devices
title_full_unstemmed Controlling Both the DC Boost and AC Output Voltage of Z-Source Inverter Using Neural Network Controller with Minimization of Voltage Stress Across Devices
title_sort controlling both the dc boost and ac output voltage of z-source inverter using neural network controller with minimization of voltage stress across devices
publisher Iran University of Science and Technology
series Iranian Journal of Electrical and Electronic Engineering
issn 1735-2827
2383-3890
publishDate 2011-03-01
description This paper presents a method to control both the dc boost and the ac output voltage of Z-source inverter using neural network controllers. The capacitor voltage of Z-source network has been controlled linearly in order to improve the transient response of the dc boost control of the Z-source inverter. The peak value of the line to line ac output voltage is used to control and keep the ac output at its desired value. A modified space vector pulse-width-modulation method is also applied to control the shoot-through duty ratio for boosting dc voltage. This modified method lets the dc voltage stress across the inverter switches be minimized. The neural network control technique is verified by simulation results. The results are compared with that of the traditional PI controller.
topic Z-source inverter
space vector
neural network.
url http://ijeee.iust.ac.ir/browse.php?a_code=A-10-328-1&slc_lang=en&sid=1
work_keys_str_mv AT darabkhaburi controllingboththedcboostandacoutputvoltageofzsourceinverterusingneuralnetworkcontrollerwithminimizationofvoltagestressacrossdevices
AT hrostami controllingboththedcboostandacoutputvoltageofzsourceinverterusingneuralnetworkcontrollerwithminimizationofvoltagestressacrossdevices
_version_ 1716746614645719040