Angular Velocity's Neural Network Observer of the Electric Drive of TVR - IM Type Implemented in Software Environment LabVIEW; IOP Conference Series: Materials Science and Engineering; Vol. 132 : Modern Technologies for Non-Destructive Testing

Angular Velocity's Neural Network Observer of the Electric Drive of TVR - IM Type Implemented in Software Environment LabVIEW; IOP Conference Series: Materials Science and Engineering; Vol. 132 : Modern Technologies for Non-Destructive Testing

Bibliographic Details
Parent link:IOP Conference Series: Materials Science and Engineering
Vol. 132 : Modern Technologies for Non-Destructive Testing.— 2016.— [012005, 6 p.]
Main Author: Kozlova L. E. Liudmila Evgenevna
Corporate Authors: Национальный исследовательский Томский политехнический университет (ТПУ) Энергетический институт (ЭНИН) Кафедра электрических сетей и электротехники (ЭСиЭ), Национальный исследовательский Томский политехнический университет (ТПУ) Энергетический институт (ЭНИН) Кафедра электропривода и электрооборудования (ЭПЭО)
Other Authors: Bolovin E. V. Evgeny Vladimirovich, Payuk L. A. Lyubov Anatoljevna
Summary:Title screen
One of the common ways to manage a smooth starting and stopping of asynchronous motors are soft-start system. For this provision is necessary to use a closed speed asynchronous electric drive of tiristor voltage regulator - induction motor (TVR-IM) type. Using real sensors significantly increases the cost of installation and also introduces a number of inconveniences in the operation of the actuator. Observer has clear advantages that are created on artificial neural network. Creating a neural network observer in program graphic programming LabVIEW will allow to evaluate the speed of rotation of the asynchronous electric.
Language:English
Published: 2016
Subjects:
электронный ресурс
труды учёных ТПУ
угловые скорости
нейронные сети
электроприводы
LabVIEW
асинхронные двигатели
регуляторы
тиристоры
Online Access:http://dx.doi.org/10.1088/1757-899X/132/1/012005
http://earchive.tpu.ru/handle/11683/33948
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=650539

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