IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i9p3689-d1132607.html
   My bibliography  Save this article

Analysis of the Efficiency of Traction Drive Control Systems of Electric Locomotives with Asynchronous Traction Motors

Author

Listed:
  • Sergey Goolak

    (Department of Electromechanics and Rolling Stock of Railways, State University of Infrastructure and Technologies, Kyrylivska Str. 9, 04071 Kyiv, Ukraine)

  • Borys Liubarskyi

    (Department of Electrical Transport and Diesel Locomotive, National Technical University «Kharkiv Polytechnic Institute», Kyrpychova Str. 2, 61002 Kharkiv, Ukraine)

  • Ievgen Riabov

    (Department of Electrical Transport and Diesel Locomotive, National Technical University «Kharkiv Polytechnic Institute», Kyrpychova Str. 2, 61002 Kharkiv, Ukraine)

  • Vaidas Lukoševičius

    (Faculty of Mechanical Engineering and Design, Kaunas University of Technology, Studentų Str. 56, 51424 Kaunas, Lithuania)

  • Artūras Keršys

    (Faculty of Mechanical Engineering and Design, Kaunas University of Technology, Studentų Str. 56, 51424 Kaunas, Lithuania)

  • Sigitas Kilikevičius

    (Faculty of Mechanical Engineering and Design, Kaunas University of Technology, Studentų Str. 56, 51424 Kaunas, Lithuania)

Abstract

An analysis of the operating conditions of the traction drives of an electric rolling stock with asynchronous traction motors was conducted. In the process of operation, the electric traction drive with both direct torque control and vector control was found to possibly experience unstable modes, both in terms of power supply and load. The models of electric locomotive traction drives with asynchronous electric motors with either vector or direct torque control were adapted to account for the possible presence of the aforementioned operational factors. As a result of the modeling, the starting characteristics of the electric traction drives with different control systems were obtained both in the absence and in the presence of power supply and load disturbances. The following cases were investigated for the drive with vector and direct torque control in the absence of power supply and torque disturbances: drive output at the rated speed of rotation of the electric motor shaft; 10% reduction in the rated speed; 10% increase in the rated speed. The comparison of the results obtained has demonstrated that, at lower than nominal frequencies, the electric traction drive with direct torque control has higher accuracy in its regulation of the rotational speed and torque, lower power consumption from the power supply, lower torque overshooting, but a higher level of torque pulsations than the electric traction drive with vector control. Meanwhile, at higher than nominal frequencies, the vector control has higher accuracy in its regulation of the speed, lower torque overshooting, shorter duration of transient processes, and lower torque pulsations than the direct torque control. Moreover, as a result of the investigations, the traction drive with direct torque control has been found to be more resistant to power supply and load disturbances. The results of this work are applicable to the investigation of the influence of electric traction drive control methods on the energy efficiency of the traction drive of an electric locomotive with an alternating current (AC).

Suggested Citation

  • Sergey Goolak & Borys Liubarskyi & Ievgen Riabov & Vaidas Lukoševičius & Artūras Keršys & Sigitas Kilikevičius, 2023. "Analysis of the Efficiency of Traction Drive Control Systems of Electric Locomotives with Asynchronous Traction Motors," Energies, MDPI, vol. 16(9), pages 1-30, April.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:9:p:3689-:d:1132607
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/9/3689/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/9/3689/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sergey Goolak & Viktor Tkachenko & Svitlana Sapronova & Vaidas Lukoševičius & Robertas Keršys & Rolandas Makaras & Artūras Keršys & Borys Liubarskyi, 2022. "Synthesis of the Current Controller of the Vector Control System for Asynchronous Traction Drive of Electric Locomotives," Energies, MDPI, vol. 15(7), pages 1-19, March.
    2. Hannan, M.A. & Ali, Jamal A. & Mohamed, Azah & Hussain, Aini, 2018. "Optimization techniques to enhance the performance of induction motor drives: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 1611-1626.
    3. Pavel Karlovsky & Jiri Lettl, 2018. "Induction Motor Drive Direct Torque Control and Predictive Torque Control Comparison Based on Switching Pattern Analysis," Energies, MDPI, vol. 11(7), pages 1-14, July.
    4. Jan Kalivoda & Larysa Neduzha, 2022. "Running Dynamics of Rail Vehicles," Energies, MDPI, vol. 15(16), pages 1-3, August.
    5. Sorin Enache & Ion Vlad & Monica Adela Enache, 2022. "Aspects Regarding the Optimization of Cross Geometry in Traction Asynchronous Motors Using the Theory of Nonlinear Circuits," Energies, MDPI, vol. 15(18), pages 1-10, September.
    6. Ahmed Fathy Abouzeid & Juan Manuel Guerrero & Aitor Endemaño & Iker Muniategui & David Ortega & Igor Larrazabal & Fernando Briz, 2020. "Control Strategies for Induction Motors in Railway Traction Applications," Energies, MDPI, vol. 13(3), pages 1-22, February.
    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. Ming-Fa Tsai & Chung-Shi Tseng & Po-Jen Cheng, 2021. "Implementation of an FPGA-Based Current Control and SVPWM ASIC with Asymmetric Five-Segment Switching Scheme for AC Motor Drives," Energies, MDPI, vol. 14(5), pages 1-23, March.
    2. Lorenzo Carbone & Simone Cosso & Krishneel Kumar & Mario Marchesoni & Massimiliano Passalacqua & Luis Vaccaro, 2022. "Stability Analysis of Open-Loop V/Hz Controlled Asynchronous Machines and Two Novel Mitigation Strategies for Oscillations Suppression," Energies, MDPI, vol. 15(4), pages 1-15, February.
    3. Iryna Bondarenko & Tiziana Campisi & Giovanni Tesoriere & Larysa Neduzha, 2022. "Using Detailing Concept to Assess Railway Functional Safety," Sustainability, MDPI, vol. 15(1), pages 1-15, December.
    4. Aleksander Jakubowski & Leszek Jarzebowicz & Mikołaj Bartłomiejczyk & Jacek Skibicki & Slawomir Judek & Andrzej Wilk & Mateusz Płonka, 2021. "Modeling of Electrified Transportation Systems Featuring Multiple Vehicles and Complex Power Supply Layout," Energies, MDPI, vol. 14(24), pages 1-20, December.
    5. Chaymae Fahassa & Yassine Zahraoui & Mohammed Akherraz & Mohammed Kharrich & Ehab E. Elattar & Salah Kamel, 2022. "Induction Motor DTC Performance Improvement by Inserting Fuzzy Logic Controllers and Twelve-Sector Neural Network Switching Table," Mathematics, MDPI, vol. 10(9), pages 1-14, April.
    6. Iryna Bondarenko & Vaidas Lukoševičius & Robertas Keršys & Larysa Neduzha, 2023. "Investigation of Dynamic Processes of Rolling Stock–Track Interaction: Experimental Realization," Sustainability, MDPI, vol. 15(6), pages 1-20, March.
    7. Sorin Enache & Ion Vlad & Monica Adela Enache, 2022. "Aspects Regarding the Optimization of Cross Geometry in Traction Asynchronous Motors Using the Theory of Nonlinear Circuits," Energies, MDPI, vol. 15(18), pages 1-10, September.
    8. Bowei Zou & Yougui Guo & Xi Xiao & Bowen Yang & Xiao Wang & Mingzhang Shi & Yulin Tu, 2020. "Performance Improvement of Matrix Converter Direct Torque Control System," Energies, MDPI, vol. 13(12), pages 1-17, June.
    9. Juan Carlos Travieso-Torres & Manuel A. Duarte-Mermoud & Matías Díaz & Camilo Contreras-Jara & Francisco Hernández, 2022. "Closed-Loop Adaptive High-Starting Torque Scalar Control Scheme for Induction Motor Variable Speed Drives," Energies, MDPI, vol. 15(10), pages 1-15, May.
    10. Andriy Chaban & Marek Lis & Andrzej Szafraniec, 2022. "Voltage Stabilisation of a Drive System Including a Power Transformer and Asynchronous and Synchronous Motors of Susceptible Motion Transmission," Energies, MDPI, vol. 15(3), pages 1-22, January.
    11. Mingmao Hu & Feng Yang & Yi Liu & Liang Wu, 2022. "Finite Control Set Model-Free Predictive Current Control of a Permanent Magnet Synchronous Motor," Energies, MDPI, vol. 15(3), pages 1-18, January.
    12. Xuesong Zhou & Chenglong Wang & Youjie Ma, 2020. "Vector Speed Regulation of an Asynchronous Motor Based on Improved First-Order Linear Active Disturbance Rejection Technology," Energies, MDPI, vol. 13(9), pages 1-20, May.
    13. Maria G. Ioannides & Elias B. Koukoutsis & Anastasios P. Stamelos & Stylianos A. Papazis & Erofili E. Stamataki & Athanasios Papoutsidakis & Vasilios Vikentios & Nikolaos Apostolakis & Michael E. Stam, 2023. "Design and Operation of Internet of Things-Based Monitoring Control System for Induction Machines," Energies, MDPI, vol. 16(7), pages 1-22, March.
    14. Swati Paliwal & Sanjay Kumar Sinha & Yogesh Kumar Chauhan, 2019. "Gravitational search algorithm based optimization technique for enhancing the performance of self excited induction generator," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(5), pages 1082-1090, October.
    15. Marcin Kaminski, 2020. "Nature-Inspired Algorithm Implemented for Stable Radial Basis Function Neural Controller of Electric Drive with Induction Motor," Energies, MDPI, vol. 13(24), pages 1-25, December.
    16. Jan Kalivoda & Larysa Neduzha, 2022. "Running Dynamics of Rail Vehicles," Energies, MDPI, vol. 15(16), pages 1-3, August.
    17. Jin Zhou & Shanhu Li & Jianning Zhang & Tianrui Fang & Xiuyun Zhang, 2022. "Research on Space Vector Overmodulation Technology of Two-Level PWM Converters," Energies, MDPI, vol. 15(19), pages 1-17, September.
    18. Sergey Goolak & Viktor Tkachenko & Svitlana Sapronova & Vaidas Lukoševičius & Robertas Keršys & Rolandas Makaras & Artūras Keršys & Borys Liubarskyi, 2022. "Synthesis of the Current Controller of the Vector Control System for Asynchronous Traction Drive of Electric Locomotives," Energies, MDPI, vol. 15(7), pages 1-19, March.
    19. Mateusz Malarczyk & Mateusz Zychlewicz & Radoslaw Stanislawski & Marcin Kaminski, 2023. "Electric Drive with an Adaptive Controller and Wireless Communication System," Future Internet, MDPI, vol. 15(2), pages 1-20, January.
    20. Alessandro Benevieri & Gianmarco Maragliano & Mario Marchesoni & Massimiliano Passalacqua & Luis Vaccaro, 2021. "Induction Motor Direct Torque Control with Synchronous PWM," Energies, MDPI, vol. 14(16), pages 1-17, August.

    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:16:y:2023:i:9:p:3689-:d:1132607. 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.