Implementation of a neural network in overhead crane control

This work is aimed at proecting an automated control system for an overhead crane based on a neural network, which will replace the operator, but it is possible to transfer this control back to the operator. The paper considers an approach to the development of the necessary software for the correct...

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Bibliographic Details
Main Authors: Kozhubaev Yuriy, Ovchinnikova Elena, Krotova Svetlana, Murashov Yuriy, Nushtaev Nikita
Format: Article
Language:English
Published: EDP Sciences 2023-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/26/e3sconf_uesf2023_01035.pdf
Description
Summary:This work is aimed at proecting an automated control system for an overhead crane based on a neural network, which will replace the operator, but it is possible to transfer this control back to the operator. The paper considers an approach to the development of the necessary software for the correct operation of the crane, the choice of equipment suitable for the task. The final part describes the program blocks necessary for operation, as well as locks.
ISSN:2267-1242