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http://earchive.tpu.ru/handle/11683/33948
Title: | Angular Velocity's Neural Network Observer of the Electric Drive of TVR - IM Type Implemented in Software Environment LabVIEW |
Authors: | Kozlova, Liudmila Evgenevna Bolovin, Evgeny Vladimirovich Payuk, Lyubov Anatoljevna |
Keywords: | угловые скорости; нейронные сети; электроприводы; LabVIEW; асинхронные двигатели; регуляторы; тиристоры |
Issue Date: | 2016 |
Publisher: | IOP Publishing |
Citation: | Kozlova L. E. Angular Velocity's Neural Network Observer of the Electric Drive of TVR - IM Type Implemented in Software Environment LabVIEW / L. E. Kozlova, E. V. Bolovin, L. A. Payuk // IOP Conference Series: Materials Science and Engineering. — 2016. — Vol. 132 : Modern Technologies for Non-Destructive Testing : IV International Conference, 5–10 October 2015, Tomsk, Russia : [proceedings]. — [012005, 6 p.]. |
Abstract: | 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. |
URI: | http://earchive.tpu.ru/handle/11683/33948 |
Appears in Collections: | Материалы конференций |
Files in This Item:
File | Description | Size | Format | |
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dx.doi.org-10.1088-1757-899X-132-1-012005.pdf | 1,12 MB | Adobe PDF | View/Open |
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