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Modelling EMS maglev systems to develop control algorithms. / Amoskov, Victor; Arslanova, Daria; Baranov, Gennady; Bazarov, Alexandr; Belyakov, Valery; Firsov, Alexey; Kaparkova, Marina; Kavin, Andrey; Khokhlov, Mikhail; Kukhtin, Vladimir; Kuzmenkov, Vladimir; Labusov, Alexey; Lamzin, Eugeny; Lantzetov, Andrei; Larionov, Mikhail; Nezhentzev, Andrey; Ovsyannikov, Dmitri; Ovsyannikov, Alexandr; Rodin, Igor; Shatil, Nikolay; Sytchevsky, Sergey; Vasiliev, Vyacheslav; Zapretilina, Elena; Zenkevich, Margarita.

In: Cybernetics and Physics, Vol. 7, No. 1, 01.06.2018, p. 11-17.

Research output: Contribution to journal › Article › peer-review

Harvard

Amoskov, V, Arslanova, D, Baranov, G, Bazarov, A, Belyakov, V, Firsov, A, Kaparkova, M, Kavin, A, Khokhlov, M, Kukhtin, V, Kuzmenkov, V, Labusov, A, Lamzin, E, Lantzetov, A, Larionov, M, Nezhentzev, A, Ovsyannikov, D, Ovsyannikov, A, Rodin, I, Shatil, N, Sytchevsky, S, Vasiliev, V, Zapretilina, E & Zenkevich, M 2018, 'Modelling EMS maglev systems to develop control algorithms', Cybernetics and Physics, vol. 7, no. 1, pp. 11-17.

APA

Amoskov, V., Arslanova, D., Baranov, G., Bazarov, A., Belyakov, V., Firsov, A., Kaparkova, M., Kavin, A., Khokhlov, M., Kukhtin, V., Kuzmenkov, V., Labusov, A., Lamzin, E., Lantzetov, A., Larionov, M., Nezhentzev, A., Ovsyannikov, D., Ovsyannikov, A., Rodin, I., ... Zenkevich, M. (2018). Modelling EMS maglev systems to develop control algorithms. Cybernetics and Physics, 7(1), 11-17.

Vancouver

Amoskov V, Arslanova D, Baranov G, Bazarov A, Belyakov V, Firsov A et al. Modelling EMS maglev systems to develop control algorithms. Cybernetics and Physics. 2018 Jun 1;7(1):11-17.

Author

Amoskov, Victor ; Arslanova, Daria ; Baranov, Gennady ; Bazarov, Alexandr ; Belyakov, Valery ; Firsov, Alexey ; Kaparkova, Marina ; Kavin, Andrey ; Khokhlov, Mikhail ; Kukhtin, Vladimir ; Kuzmenkov, Vladimir ; Labusov, Alexey ; Lamzin, Eugeny ; Lantzetov, Andrei ; Larionov, Mikhail ; Nezhentzev, Andrey ; Ovsyannikov, Dmitri ; Ovsyannikov, Alexandr ; Rodin, Igor ; Shatil, Nikolay ; Sytchevsky, Sergey ; Vasiliev, Vyacheslav ; Zapretilina, Elena ; Zenkevich, Margarita. / Modelling EMS maglev systems to develop control algorithms. In: Cybernetics and Physics. 2018 ; Vol. 7, No. 1. pp. 11-17.

BibTeX

@article{310eb5d59b9a4abea76320b2a401c409,
title = "Modelling EMS maglev systems to develop control algorithms",
abstract = "Electromagnetic suspension (EMS) system for magnetically levitated vehicles can utilize different types of magnets, such as room temperature electromagnets, superconducting magnets as well as permanent magnets. In the course of the study the trichotomy has been applied to the electromagnetic suspension system. The EMS configuration considered in this paper has been treated as a combination of these three types of magnets modelled individually. Results of computations were compared to measurements on a working prototype that provided stable levitation of a platform weighing above 190 kg. A good agreement between the simulated and measured parameters enabled verification of the computational models for separate magnets, selection of efficient control algorithms for a combined EMS system, validation of numerical procedures for payload scaling for practical maglev applications. The combined EMS under study has demonstrated improved power consumption as compared to the conventional EMS. Optimal control algorithms for a combined EMS should factor in various criteria, including rapidity, stability, power consumption, weight, reliability, etc. Different types of magnets can be integrated into a single module to reach the desired performance. Hence, the optimum solution for the EMS design and relevant control algorithms should be searched within a common procedure using detailed computational models.",
keywords = "Computational technique, Control algorithm, Hybrid system, Maglev, Magnetic field, Simulation",
author = "Victor Amoskov and Daria Arslanova and Gennady Baranov and Alexandr Bazarov and Valery Belyakov and Alexey Firsov and Marina Kaparkova and Andrey Kavin and Mikhail Khokhlov and Vladimir Kukhtin and Vladimir Kuzmenkov and Alexey Labusov and Eugeny Lamzin and Andrei Lantzetov and Mikhail Larionov and Andrey Nezhentzev and Dmitri Ovsyannikov and Alexandr Ovsyannikov and Igor Rodin and Nikolay Shatil and Sergey Sytchevsky and Vyacheslav Vasiliev and Elena Zapretilina and Margarita Zenkevich",
year = "2018",
month = jun,
day = "1",
language = "English",
volume = "7",
pages = "11--17",
journal = "Cybernetics and Physics",
issn = "2223-7038",
publisher = "IPACS",
number = "1",

}

RIS

TY - JOUR

T1 - Modelling EMS maglev systems to develop control algorithms

AU - Amoskov, Victor

AU - Arslanova, Daria

AU - Baranov, Gennady

AU - Bazarov, Alexandr

AU - Belyakov, Valery

AU - Firsov, Alexey

AU - Kaparkova, Marina

AU - Kavin, Andrey

AU - Khokhlov, Mikhail

AU - Kukhtin, Vladimir

AU - Kuzmenkov, Vladimir

AU - Labusov, Alexey

AU - Lamzin, Eugeny

AU - Lantzetov, Andrei

AU - Larionov, Mikhail

AU - Nezhentzev, Andrey

AU - Ovsyannikov, Dmitri

AU - Ovsyannikov, Alexandr

AU - Rodin, Igor

AU - Shatil, Nikolay

AU - Sytchevsky, Sergey

AU - Vasiliev, Vyacheslav

AU - Zapretilina, Elena

AU - Zenkevich, Margarita

PY - 2018/6/1

Y1 - 2018/6/1

N2 - Electromagnetic suspension (EMS) system for magnetically levitated vehicles can utilize different types of magnets, such as room temperature electromagnets, superconducting magnets as well as permanent magnets. In the course of the study the trichotomy has been applied to the electromagnetic suspension system. The EMS configuration considered in this paper has been treated as a combination of these three types of magnets modelled individually. Results of computations were compared to measurements on a working prototype that provided stable levitation of a platform weighing above 190 kg. A good agreement between the simulated and measured parameters enabled verification of the computational models for separate magnets, selection of efficient control algorithms for a combined EMS system, validation of numerical procedures for payload scaling for practical maglev applications. The combined EMS under study has demonstrated improved power consumption as compared to the conventional EMS. Optimal control algorithms for a combined EMS should factor in various criteria, including rapidity, stability, power consumption, weight, reliability, etc. Different types of magnets can be integrated into a single module to reach the desired performance. Hence, the optimum solution for the EMS design and relevant control algorithms should be searched within a common procedure using detailed computational models.

AB - Electromagnetic suspension (EMS) system for magnetically levitated vehicles can utilize different types of magnets, such as room temperature electromagnets, superconducting magnets as well as permanent magnets. In the course of the study the trichotomy has been applied to the electromagnetic suspension system. The EMS configuration considered in this paper has been treated as a combination of these three types of magnets modelled individually. Results of computations were compared to measurements on a working prototype that provided stable levitation of a platform weighing above 190 kg. A good agreement between the simulated and measured parameters enabled verification of the computational models for separate magnets, selection of efficient control algorithms for a combined EMS system, validation of numerical procedures for payload scaling for practical maglev applications. The combined EMS under study has demonstrated improved power consumption as compared to the conventional EMS. Optimal control algorithms for a combined EMS should factor in various criteria, including rapidity, stability, power consumption, weight, reliability, etc. Different types of magnets can be integrated into a single module to reach the desired performance. Hence, the optimum solution for the EMS design and relevant control algorithms should be searched within a common procedure using detailed computational models.

KW - Computational technique

KW - Control algorithm

KW - Hybrid system

KW - Maglev

KW - Magnetic field

KW - Simulation

UR - http://www.scopus.com/inward/record.url?scp=85049697716&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:85049697716

VL - 7

SP - 11

EP - 17

JO - Cybernetics and Physics

JF - Cybernetics and Physics

SN - 2223-7038

IS - 1

ER -

ID: 32866619