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Sensorless Control of the High-Speed Switched-Reluctance Generator for the Steam Turbine

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Proceedings of the Second International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’17) (IITI 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 680))

Abstract

The article deals with the control of switched-reluctance electrical machine acting as a generator in combination with the steam turbine. Particularities of the rotor’s position sensorless control use are identified for the high-speed switched-reluctance electrical machines. The cases of work with high rotation velocity, in starting and acceleration conditions are considered. The results of electromechanical process’ simulation in the considered system are set out.

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Authors and Affiliations

  1. Rostov State Transport University, Rostov-on-Don, Russian Federation

    Pavel G. Kolpakhchyan, Alexey R. Shaikhiev & Alexander E. Kochin

Authors
  1. Pavel G. Kolpakhchyan
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  2. Alexey R. Shaikhiev
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  3. Alexander E. Kochin
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Corresponding author

Correspondence to Pavel G. Kolpakhchyan .

Editor information

Editors and Affiliations

  1. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR labs), Auburn, Washington, USA

    Ajith Abraham

  2. Rostov State Transport University, Rostov-on-Don, Russia

    Sergey Kovalev

  3. Bauman Moscow State Technical University, Moscow, Russia

    Valery Tarassov

  4. VSB-Technical University of Ostrava, Ostrava, Czech Republic

    Vaclav Snasel

  5. Department Electrical Power Engineering, Technical University of Varna, Varna, Bulgaria

    Margreta Vasileva

  6. Rostov State Transport University, Rostov-on-Don, Russia

    Andrey Sukhanov

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Kolpakhchyan, P.G., Shaikhiev, A.R., Kochin, A.E. (2018). Sensorless Control of the High-Speed Switched-Reluctance Generator for the Steam Turbine. In: Abraham, A., Kovalev, S., Tarassov, V., Snasel, V., Vasileva, M., Sukhanov, A. (eds) Proceedings of the Second International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’17). IITI 2017. Advances in Intelligent Systems and Computing, vol 680. Springer, Cham. https://doi.org/10.1007/978-3-319-68324-9_38

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  • DOI: https://doi.org/10.1007/978-3-319-68324-9_38

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68323-2

  • Online ISBN: 978-3-319-68324-9

  • eBook Packages: EngineeringEngineering (R0)

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