Optimal pole arrangement design of a linear switched-reluctance machine for magnetic levitation and propulsion system
Journal Article
·
· IEEE Transactions on Magnetics
OSTI ID:403174
- National Sun Yat-Sen Univ., Kaohsiung (Taiwan, Province of China). Dept. of Electrical Engineering
This paper provides an optimal pole arrangement design scheme of a linear switched-reluctance machine that is applicable for magnetic levitated vehicle (MAGLEV) system. The proposed low-cost machine structure will be able to supply both the levitation and the propulsion forces simultaneously. Minimum torque generation and smooth switch operation in the entire operation range have been selected as the design objectives subjected to the available machine bogie and electromagnet sizes. Comparison studies on the system electromagnetic and electromechanical characteristics will be provided to verify the adequacy of the proposed design scheme.
- OSTI ID:
- 403174
- Report Number(s):
- CONF-960425-; ISSN 0018-9464; TRN: IM9651%%209
- Journal Information:
- IEEE Transactions on Magnetics, Vol. 32, Issue 5Pt2; Conference: 1996 IEEE international magnetics conference, Seattle, WA (United States), 9-12 Apr 1996; Other Information: PBD: Sep 1996
- Country of Publication:
- United States
- Language:
- English
Similar Records
Electromagnetic Design Optimization Integrated with Mechanical Stress Analysis of PM-Assisted Synchronous Reluctance Machine Topologies Enabled with a Blend of Magnets
Advantages of switched reluctance motor applications to EV and HEV: Design and control issues
Accurate modeling of switched reluctance machine based on hybrid trained WNN
Journal Article
·
Sun Apr 14 00:00:00 EDT 2024
· Energies
·
OSTI ID:403174
Advantages of switched reluctance motor applications to EV and HEV: Design and control issues
Journal Article
·
Tue Feb 01 00:00:00 EST 2000
· IEEE Transactions on Industry Applications (Institute of Electrical and Electronics Engineers)
·
OSTI ID:403174
+2 more
Accurate modeling of switched reluctance machine based on hybrid trained WNN
Journal Article
·
Tue Apr 15 00:00:00 EDT 2014
· AIP Advances
·
OSTI ID:403174
+1 more