IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i19p12665-d934045.html
   My bibliography  Save this article

Instant Closing of Permanent Magnet Synchronous Motor Control Systems at Open-Loop Start

Author

Listed:
  • Anton Dianov

    (Daeyoung R&D Center, Yongin 16954, Korea)

Abstract

Nowadays, position sensorless permanent magnet synchronous motor drives are gaining popularity quite rapidly, and have become almost standard in many applications such as compressors, high speed pumps, etc. All of these drives involve estimators to calculate the speed and the position of the rotor, which are necessary for proper operation of vector control. While these estimators, with the exception of injection-based ones, work well in the middle and high-speed ranges, they cannot operate at low speeds. In order to overcome this problem, sensorless control systems include different starting techniques, with the most popular being open-loop starting. In this approach, the motor is accelerated in open-loop mode until it reaches the speed where estimator operates stably, then the control system is closed. However, the weakest point of this method is the technology of closing the system, which typically creates transients and can even be the cause of loss of stability. This paper proposes a method for instant and seamless transition from open-loop to closed loop which works perfectly under different load conditions. Other starting techniques are considered and compared with the proposed method.

Suggested Citation

  • Anton Dianov, 2022. "Instant Closing of Permanent Magnet Synchronous Motor Control Systems at Open-Loop Start," Sustainability, MDPI, vol. 14(19), pages 1-17, October.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:12665-:d:934045
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/19/12665/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/19/12665/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Muhammad Naveed Iqbal & Lauri Kütt & Matti Lehtonen & Robert John Millar & Verner Püvi & Anton Rassõlkin & Galina L. Demidova, 2021. "Travel Activity Based Stochastic Modelling of Load and Charging State of Electric Vehicles," Sustainability, MDPI, vol. 13(3), pages 1-14, February.
    2. Mahmoud Ibrahim & Anton Rassõlkin & Toomas Vaimann & Ants Kallaste, 2022. "Overview on Digital Twin for Autonomous Electrical Vehicles Propulsion Drive System," Sustainability, MDPI, vol. 14(2), pages 1-16, January.
    3. Vladimir Dmitrievskii & Vladimir Prakht & Vadim Kazakbaev & Sergey Sarapulov, 2018. "Optimal Design of a High-Speed Single-Phase Flux Reversal Motor for Vacuum Cleaners," Energies, MDPI, vol. 11(12), pages 1-13, November.
    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. Anton Rassõlkin & Kari Tammi & Galina Demidova & Hassan HosseinNia, 2022. "Mechatronics Technology and Transportation Sustainability," Sustainability, MDPI, vol. 14(3), pages 1-3, January.
    2. Pietro Stabile & Federico Ballo & Giorgio Previati & Giampiero Mastinu & Massimiliano Gobbi, 2023. "Eco-Driving Strategy Implementation for Ultra-Efficient Lightweight Electric Vehicles in Realistic Driving Scenarios," Energies, MDPI, vol. 16(3), pages 1-19, January.
    3. Vladimir Prakht & Vladimir Dmitrievskii & Vadim Kazakbaev, 2020. "Optimal Design of Gearless Flux-Switching Generator with Ferrite Permanent Magnets," Mathematics, MDPI, vol. 8(2), pages 1-14, February.
    4. Silvia Mazzetto, 2024. "A Review of Urban Digital Twins Integration, Challenges, and Future Directions in Smart City Development," Sustainability, MDPI, vol. 16(19), pages 1-33, September.
    5. Amiri, Mahshid N. & Håkansson, Anne & Burheim, Odne S. & Lamb, Jacob J., 2024. "Lithium-ion battery digitalization: Combining physics-based models and machine learning," Renewable and Sustainable Energy Reviews, Elsevier, vol. 200(C).
    6. Muhammad Ali & Krishneel Prakash & Carlos Macana & Ali Kashif Bashir & Alireza Jolfaei & Awais Bokhari & Jiří Jaromír Klemeš & Hemanshu Pota, 2022. "Modeling Residential Electricity Consumption from Public Demographic Data for Sustainable Cities," Energies, MDPI, vol. 15(6), pages 1-16, March.
    7. Libing Jing & Kun Yang & Yuting Gao & Zhangtao Kui & Zeyu Min, 2022. "Analysis and Optimization of a Novel Flux Reversal Machine with Auxiliary Teeth," Energies, MDPI, vol. 15(23), pages 1-14, November.
    8. Muhammad Naveed Iqbal & Lauri Kütt & Kamran Daniel & Bilal Asad & Payam Shams Ghahfarokhi, 2021. "Estimation of Harmonic Emission of Electric Vehicles and Their Impact on Low Voltage Residential Network," Sustainability, MDPI, vol. 13(15), pages 1-17, July.
    9. Shubham Mishra & Shrey Verma & Subhankar Chowdhury & Ambar Gaur & Subhashree Mohapatra & Gaurav Dwivedi & Puneet Verma, 2021. "A Comprehensive Review on Developments in Electric Vehicle Charging Station Infrastructure and Present Scenario of India," Sustainability, MDPI, vol. 13(4), pages 1-20, February.
    10. Piotr Rosik & Sławomir Goliszek & Tomasz Komornicki & Patryk Duma, 2021. "Forecast of the Impact of Electric Car Battery Performance and Infrastructural and Demographic Changes on Cumulative Accessibility for the Five Most Populous Cities in Poland," Energies, MDPI, vol. 14(24), pages 1-12, December.
    11. Kamran Daniel & Lauri Kütt & Muhammad Naveed Iqbal & Noman Shabbir & Ateeq Ur Rehman & Muhammad Shafiq & Habib Hamam, 2022. "Current Harmonic Aggregation Cases for Contemporary Loads," Energies, MDPI, vol. 15(2), pages 1-15, January.
    12. Adel Razek, 2024. "One Health Ecological Approach to Sustainable Wireless Energy Transfer Aboard Electric Vehicles for Smart Cities," Energies, MDPI, vol. 17(17), pages 1-21, August.
    13. Maurizio Cutini & Carlo Bisaglia & Massimo Brambilla & Andrea Bragaglio & Federico Pallottino & Alberto Assirelli & Elio Romano & Alessandro Montaghi & Elisabetta Leo & Marco Pezzola & Claudio Maroni , 2023. "A Co-Simulation Virtual Reality Machinery Simulator for Advanced Precision Agriculture Applications," Agriculture, MDPI, vol. 13(8), pages 1-21, August.
    14. Mahmoud Ibrahim & Anton Rassõlkin & Toomas Vaimann & Ants Kallaste & Janis Zakis & Van Khang Hyunh & Raimondas Pomarnacki, 2023. "Digital Twin as a Virtual Sensor for Wind Turbine Applications," Energies, MDPI, vol. 16(17), pages 1-12, August.
    15. Vladimir Prakht & Vladimir Dmitrievskii & Vadim Kazakbaev, 2021. "Optimal Design of a High-Speed Flux Reversal Motor with Bonded Rare-Earth Permanent Magnets," Mathematics, MDPI, vol. 9(3), pages 1-11, January.
    16. Bhaskar P. Rimal & Cuiyu Kong & Bikrant Poudel & Yong Wang & Pratima Shahi, 2022. "Smart Electric Vehicle Charging in the Era of Internet of Vehicles, Emerging Trends, and Open Issues," Energies, MDPI, vol. 15(5), pages 1-24, March.
    17. Seppo Borenius & Petri Tuomainen & Jyri Tompuri & Jesse Mansikkamäki & Matti Lehtonen & Heikki Hämmäinen & Raimo Kantola, 2022. "Scenarios on the Impact of Electric Vehicles on Distribution Grids," Energies, MDPI, vol. 15(13), pages 1-30, June.
    18. Vladimir Dmitrievskii & Vladimir Prakht & Vadim Kazakbaev, 2019. "Design Optimization of a Permanent-Magnet Flux-Switching Generator for Direct-Drive Wind Turbines," Energies, MDPI, vol. 12(19), pages 1-15, September.
    19. Dimitrios Rimpas & Stavrοs D. Kaminaris & Dimitrios D. Piromalis & George Vokas & Konstantinos G. Arvanitis & Christos-Spyridon Karavas, 2023. "Comparative Review of Motor Technologies for Electric Vehicles Powered by a Hybrid Energy Storage System Based on Multi-Criteria Analysis," Energies, MDPI, vol. 16(6), pages 1-24, 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:jsusta:v:14:y:2022:i:19:p:12665-:d:934045. 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.