High-Speed Electrical Machine with Active Magnetic Bearing System Optimization

Alexander Smirnov, Nikita Uzhegov, Teemu Sillanpaa, Juha Pyrhonen, Olli Pyrhonen

Research output: Contribution to journalArticleScientificpeer-review

20 Citations (Scopus)

Abstract

High-speed (HS) electrical machines provide high system efficiency, compact design, and low material consumption. Active magnetic bearings (AMBs) bring additional benefits to the HS system, such as elimination of the friction losses, reduced wear and maintenance, and a built-in monitoring system. HS drivetrains are usually designed for specific applications and require a high level of integration. This paper describes a design method of the HS electrical machine supported by AMBs, considering their mutual influence on the system performance. The optimization procedure, which takes into account both the electrical machine and bearing designs, is developed. The optimization is based on a multiobjective genetic algorithm. The selected optimization parameters include the AMB and machine dimensions. The optimization objectives cover the electrical machine performance and the rotordynamics. The results of the proposed optimization algorithm are implemented in the constructed 350-kW, 15 000-r/min induction machine with a solid rotor supported by AMBs. The prototype tests verify the design and optimization results.

Original languageEnglish
Article number7953508
Pages (from-to)9876-9885
Number of pages10
JournalIEEE Transactions on Industrial Electronics
Volume64
Issue number12
DOIs
Publication statusPublished - 1 Dec 2017
MoE publication typeA1 Journal article-refereed

Keywords

  • AC machine
  • active magnetic bearings (AMBs)
  • electrical design
  • high-speed (HS) drive
  • induction machines
  • mechanical design
  • rotating machines

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  • Cite this

    Smirnov, A., Uzhegov, N., Sillanpaa, T., Pyrhonen, J., & Pyrhonen, O. (2017). High-Speed Electrical Machine with Active Magnetic Bearing System Optimization. IEEE Transactions on Industrial Electronics, 64(12), 9876-9885. [7953508]. https://doi.org/10.1109/TIE.2017.2716875