IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i4p1282-d745996.html
   My bibliography  Save this article

Correction Mechanism for Balancing Driving Torques in an Opencast Mining Stacker with an Induction Motor and Converter Drive System

Author

Listed:
  • Mariusz Jabłoński

    (Department of Electrical Apparatus, Faculty of Electrical, Electronic, Computer and Control Engineering, Lodz University of Technology, 90-537 Lodz, Poland)

  • Piotr Borkowski

    (Department of Electrical Apparatus, Faculty of Electrical, Electronic, Computer and Control Engineering, Lodz University of Technology, 90-537 Lodz, Poland)

Abstract

This article describes a correction mechanism for balancing torques in moving drives. The steering system is controlled by a programable logic controller (PLC), a field-oriented control (FOC) algorithm in the drive inverter system, Process Fieldbus (PROFIBUS), and a Decentralized Peripherals (DP) network. The mechanism was applied in an opencast mining stacker with an induction motor and converter drive system. The mechanism was realized using SIMOLINK (Siemens Motion Link, SL) via fiber optic cables. Motor torque correction was applied in each electrical drive of the stacker machine. The main results presented in this paper were obtained directly from the machine. Selected digital control problems related to open mining stackers are discussed.

Suggested Citation

  • Mariusz Jabłoński & Piotr Borkowski, 2022. "Correction Mechanism for Balancing Driving Torques in an Opencast Mining Stacker with an Induction Motor and Converter Drive System," Energies, MDPI, vol. 15(4), pages 1-16, February.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:4:p:1282-:d:745996
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/4/1282/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/4/1282/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mustafa Gokdag, 2022. "Modulated Predictive Control to Improve the Steady-State Performance of NSI-Based Electrification Systems," Energies, MDPI, vol. 15(6), pages 1-19, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:4:p:1282-:d:745996. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.