IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i24p9378-d1000182.html
   My bibliography  Save this article

Optimization of the Control of Electromagnetic Brakes in the Stand for Tuning Internal Combustion Engines Using ID Regulators of Fractional Order

Author

Listed:
  • Victor Busher

    (Department of Electrical Engineering and Electronics, National University “Odessa Maritime Academy”, 8, Didrikhson Str., 65029 Odessa, Ukraine)

  • Vadim Zakharchenko

    (Department of Electrical Engineering and Electronics, National University “Odessa Maritime Academy”, 8, Didrikhson Str., 65029 Odessa, Ukraine)

  • Anatoliy Shestaka

    (Department of Electrical Engineering and Electronics, National University “Odessa Maritime Academy”, 8, Didrikhson Str., 65029 Odessa, Ukraine)

  • Valeriy Kuznetsov

    (Railway Research Institute, Electric Power Department, 50 Chłopickiego Józefa Street, 04-275 Warsaw, Poland)

  • Vitalii Kuznetsov

    (Department of Electrical Engineering, Ukrainian State University of Science and Technologies, 2 Lazaryana Str., 49010 Dnipro, Ukraine)

  • Stanislaw Nader

    (Department of Production and Logistics, Warsaw Management University, St. Kaweczyńska 36, 03-772 Warsaw, Poland)

Abstract

This work is aimed at developing a stand for tuning the fuel system of an internal combustion engine based on two electromagnetic retarders connected to the driving wheels of a car to simulate a load, and a microprocessor-based torque control system for each brake. In accordance with the terms of reference from the specialists of the automotive service center, such a stand should provide two main modes of operation: (1) stabilization of the speed of the drive wheels in the entire range of loads (fuel supply); (2) engine acceleration and deceleration according to linear tachograms in the range from minimum to maximum speed to determine the dependence of engine power and torque on speed. The purpose of this research is the synthesis of controllers, testing, the choice of the structural scheme, and the parameters of the control and data processing system in the stand for the precision tuning of internal combustion engines. Based on a preliminary analysis of the system, taking into account the mechanical connection of the wheels through the main gear and the car differential, the nonlinear dependence of the electromagnetic torque on the current and retarder speed, and subsequent experimental results, we obtained two types of controller—a third-order aperiodic transfer function and a fractional aperiodic transfer function of order 1.6. This made it possible to synthesize a family of controllers that ensure the operation of the stand in the required modes: synchronization of wheel speeds during engine acceleration; stabilization of the reference speed when the engine torque is changed from minimum to maximum due to fuel supply; measurement of the maximum power and torque of the internal combustion engine during the formation of a triangular tachogram with a given acceleration to compensate for the dynamic component of the torque due to mechanical inertia. The system with the PID controller configured in MATLAB in the “Tune” package has the best performance, but the smallest overshoot and the best dynamic accuracy are ensured by the PIDI γ I µ fractional–integral controller, where the system is characterized by a fractional order of astaticism 1.6. Such a controller for each electromagnetic retarder serves as the basis of the microprocessor-based control, data acquisition, processing, graphical display system, and will also be used to develop a similar bench for tuning four-wheel-drive vehicles.

Suggested Citation

  • Victor Busher & Vadim Zakharchenko & Anatoliy Shestaka & Valeriy Kuznetsov & Vitalii Kuznetsov & Stanislaw Nader, 2022. "Optimization of the Control of Electromagnetic Brakes in the Stand for Tuning Internal Combustion Engines Using ID Regulators of Fractional Order," Energies, MDPI, vol. 15(24), pages 1-19, December.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:24:p:9378-:d:1000182
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/24/9378/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/24/9378/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jun Yu & Qiangsong Zhao & Hengyi Li & Xuebin Yue & Shengjun Wen, 2022. "High-Performance Fractional Order PIMR-Type Repetitive Control for a Grid-Tied Inverter," Energies, MDPI, vol. 15(11), pages 1-15, May.
    2. Mourad Yessef & Badre Bossoufi & Mohammed Taoussi & Saad Motahhir & Ahmed Lagrioui & Hamid Chojaa & Sanghun Lee & Byeong-Gwon Kang & Mohamed Abouhawwash, 2022. "Improving the Maximum Power Extraction from Wind Turbines Using a Second-Generation CRONE Controller," Energies, MDPI, vol. 15(10), pages 1-23, May.
    3. Krzysztof Oprzędkiewicz & Maciej Rosół & Wojciech Mitkowski, 2022. "Modeling of Thermal Traces Using Fractional Order, a Discrete, Memory-Efficient Model," Energies, MDPI, vol. 15(6), pages 1-13, March.
    4. Riccardo Morselli & Roberto Zanasi & Germano Sandoni, 2006. "Detailed and reduced dynamic models of passive and active limited-slip car differentials," Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 12(4), pages 347-362, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Vladimir Franki & Darin Majnarić & Alfredo Višković, 2023. "A Comprehensive Review of Artificial Intelligence (AI) Companies in the Power Sector," Energies, MDPI, vol. 16(3), pages 1-35, January.

    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:24:p:9378-:d:1000182. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.