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Neural model of conveyor type transport system

Author

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  • Pihnastyi, Oleh
  • Khodusov, Valery

Abstract

In this paper, a model of a transport conveyor system using a neural network is demonstrated. The analysis of the main parameters of modern conveyor systems is presented. The main models of the conveyor section, which are used for the design of control systems for flow parameters, are considered. The necessity of using neural networks in the design of conveyor transport control systems is substantiated. A review of conveyor models using a neural network is performed. The conditions of applicability of models using neural networks to describe conveyor systems are determined. A comparative analysis of the analytical model of the conveyor section and the model using the neural network is performed. The technique of forming a set of test data for the process of training a neural network is presented. The foundation for the formation of test data for learning neural network is an analytical model of the conveyor section. Using an analytical model allowed us to form a set of test data for transient dynamic modes of functioning of the transport system. The transport system is presented in the form of a directed graph without cycles. Analysis of the model using a neural network showed a high-quality relationship between the output flow for different conveyor sections of the transport system

Suggested Citation

  • Pihnastyi, Oleh & Khodusov, Valery, 2020. "Neural model of conveyor type transport system," MPRA Paper 101527, University Library of Munich, Germany, revised 01 May 2020.
    • Handle: RePEc:pra:mprapa:101527
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    File URL: https://mpra.ub.uni-muenchen.de/101527/1/MPRA_paper_101527.pdf
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    References listed on IDEAS

    as
    1. Tebello Mathaba & Xiaohua Xia, 2015. "A Parametric Energy Model for Energy Management of Long Belt Conveyors," Energies, MDPI, vol. 8(12), pages 1-19, December.
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    Cited by:

    1. Pihnastyi, Oleh & Kozhevnikov, Georgii, 2020. "Control of a Conveyor Based on a Neural Network," MPRA Paper 111950, University Library of Munich, Germany, revised 09 Oct 2021.
    2. Pihnastyi, Oleh & Chernіavska, Svіtlana, 2022. "Improvement of methods for description of a three-bunker collection conveyor," MPRA Paper 115529, University Library of Munich, Germany, revised 15 Oct 2022.

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    More about this item

    Keywords

    conveyor; PDE– model; distributed system; transport delay;
    All these keywords.

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

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