Please use this identifier to cite or link to this item: http://repository.kpi.kharkov.ua/handle/KhPI-Press/56262
Title: Control of a Conveyor Based on a Neural Network
Authors: Pihnastyi, O. M.
Kozhevnikov, G. K.
Keywords: PDE-model production; PiKh-model; distributed system; optimal control
Issue Date: 2020
Publisher: Institute of Electrical and Electronics Engineers, Inc., USA
Citation: Pihnastyi O. Control of a Conveyor Based on a Neural Network / O. Pihnastyi, G. Kozhevnikov // 2020 IEEE International Conference on Problems of Infocommunications Science and Technology (PIC S&T 2020) : Conf. Proc., October 6-9, 2020, Kharkiv, Ukraine. – Kharkiv, 2020. – P. 295-300.
Abstract: The present study is devoted to the design of the main flow parameters of a conveyor control system with a large number of sections. For the design of the control system, a neural network is used. The architecture of the neural network is justified and the rules for the formation of nodes for the input and output layers are defined. The main parameters of the model are identified and analyzed. The data set for training the neural network is formed using the analytical model of the transport system. The criterion for the quality of the transport system is written. For the given criterion for the quality of the transport system, the Pontryagin function is defined and the adjoint system of equations is given. It allows calculating optimal control of the transport system. For calculation is used additional model of the transport system with output nodes which are controls. A graphical representation of the results of the study is given.
ORCID: orcid.org/0000-0002-5424-9843
URI: http://repository.kpi.kharkov.ua/handle/KhPI-Press/56262
Appears in Collections:Кафедра "Інтернет речей"

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