Implementation of a neural network in overhead crane control

Abstract

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.