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Control of a Conveyor Based on a Neural Network

Author

Listed:
  • Pihnastyi, Oleh
  • Kozhevnikov, Georgii
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

Suggested Citation

  • 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.
    • Handle: RePEc:pra:mprapa:111950
    as

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    File URL: https://mpra.ub.uni-muenchen.de/111950/1/MPRA_paper_111950.pdf
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    References listed on IDEAS

    as
    1. Pihnastyi, Oleh & Khodusov, Valery & Subbotin, Sergey, 2020. "Linear Regression Model of the Conveyor Type Transport System," MPRA Paper 103881, University Library of Munich, Germany, revised 26 Sep 2020.
    2. Pihnastyi, Oleh & Khodusov, Valery, 2020. "Neural model of conveyor type transport system," MPRA Paper 101527, University Library of Munich, Germany, revised 01 May 2020.
    3. 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.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    PDE-model production; PiKh-model; distributed system; optimal control;
    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
    • L23 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Organization of Production
    • Q21 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Demand and Supply; Prices

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