Adaptive model of the control of roller bit drilling process

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: International Conference on High-Tech and Innovations in Research and Manufacturing, HIRM 2019

Год издания: 2019

Идентификатор DOI: 10.1088/1742-6596/1353/1/012029

Аннотация: The article is devoted to research of the features of roller-bit drilling process control under incomplete information caused by random variation of the drilled rocks properties. It is proposed to optimize control model of the roller-bit drilling process parameters that uses the correction values of axial force and rotational speed of drill bit. The optimization method of operating parameters of roller-bit drilling process is developed and based on the correcting values of axial force and bit rotational speed depending on the technical characteristics of the drilling unit and physic and mechanical rocks properties. The proposed method allows determining the maximum headway per drill bit, drilling speed and its ratio corresponding to the optimum efficiency of the roller-bit drilling process, required for adaptive control of process parameters. The structure of intelligent automated control system of roller-bit drilling process with an adaptive element is developed and this system can adjust and maintain the values of operating parameters correspondingly actual rocks properties for effective process control. © 2019 Published under licence by IOP Publishing Ltd.

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Издание

Журнал: Journal of Physics: Conference Series

Выпуск журнала: Vol. 1353, Is. 1

Номера страниц: 12029

ISSN журнала: 17426588

Издатель: Institute of Physics Publishing

Авторы

  • Shigina A.A. (Siberian Federal University, 3 Vuzovsky Lane, Krasnoyarsk, 660025, Russian Federation)
  • Stupina A.A. (Siberian Federal University, 3 Vuzovsky Lane, Krasnoyarsk, 660025, Russian Federation, Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Avenue, Krasnoyarsk, 660037, Russian Federation)
  • Dzhioeva N.N. (Siberian Federal University, 3 Vuzovsky Lane, Krasnoyarsk, 660025, Russian Federation)
  • Tynchenko V.S. (Siberian Federal University, 79 Svobodny Avenue, Krasnoyarsk, 660041, Russian Federation, Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Avenue, Krasnoyarsk, 660037, Russian Federation)
  • Antamoshkin O.A. (Siberian Federal University, 79 Svobodny Avenue, Krasnoyarsk, 660041, Russian Federation, Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Avenue, Krasnoyarsk, 660037, Russian Federation, Krasnoyarsk State Agrarian University, 90 Mira Avenue, Krasnoyarsk, 660049, Russian Federation)
  • Kukartsev V.V. (Siberian Federal University, 79 Svobodny Avenue, Krasnoyarsk, 660041, Russian Federation, Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Avenue, Krasnoyarsk, 660037, Russian Federation)

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