TY - JOUR
T1 - High-Speed Electrical Machine with Active Magnetic Bearing System Optimization
AU - Smirnov, Alexander
AU - Uzhegov, Nikita
AU - Sillanpaa, Teemu
AU - Pyrhonen, Juha
AU - Pyrhonen, Olli
N1 - Funding Information:
Manuscript received December 21, 2016; revised March 29, 2017 and May 8, 2017; accepted May 22, 2017. Date of publication June 19, 2017; date of current version October 24, 2017. This work was supported in part by the Department of Chemical and Metallurgical Engineering, Aalto University, and the School of Energy Systems, Lappeenranta University of Technology. (Corresponding author: Alexander Smirnov.) A. Smirnov was with the Department of Electrical Engineering, School of Energy Systems, Lappeenranta University of Technology, 53850 Lappeenranta, Finland. He is now with the Department of Chemical and Metallurgical Engineering, Aalto University, 16100, Espoo, Finland (e-mai: [email protected]).
Publisher Copyright:
© 1982-2012 IEEE.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2017/12/1
Y1 - 2017/12/1
N2 - 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.
AB - 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.
KW - AC machine
KW - active magnetic bearings (AMBs)
KW - electrical design
KW - high-speed (HS) drive
KW - induction machines
KW - mechanical design
KW - rotating machines
UR - http://www.scopus.com/inward/record.url?scp=85021797815&partnerID=8YFLogxK
U2 - 10.1109/TIE.2017.2716875
DO - 10.1109/TIE.2017.2716875
M3 - Article
AN - SCOPUS:85021797815
SN - 0278-0046
VL - 64
SP - 9876
EP - 9885
JO - IEEE Transactions on Industrial Electronics
JF - IEEE Transactions on Industrial Electronics
IS - 12
M1 - 7953508
ER -