LAPSE:2023.28476
Published Article
LAPSE:2023.28476
Efficiency Improvement by Deriving the Optimal Operating Slip Frequency of a Linear-Induction-Style Maglev Train
Sang-Uk Park, Hyung-Soo Mok, Jae-Won Lim, Hyun-Uk Seo, Sang-Hun Oh
April 11, 2023
While urban maglev trains have the advantage of being optimized for urban environments where noise is low and dust is less generated, their driving efficiency is low when compared to rotary induction motors owing to the structural limitations of linear devices. To compensate for these disadvantages, various studies on train control schemes have been conducted. Representative control methods include improving the efficiency of using slip frequency by directly controlling the propulsion force using vector control. However, this method has limitations in its use as it relates to the normal force that affects the train’s levitation system. Therefore, in this study, mathematical analysis was conducted for each factor that mutually affects the control of the train. On this basis, the magnitude of the normal force related to the safety of the train is limited. Operating efficiency was improved by varying the slip frequency according to the operating conditions of the train. In addition, for verification, the effect was proved through a comparative experiment using an 18 ton class maglev train running at Incheon International Airport.
Keywords
automatic train operation, LIM, linear induction motor, slip frequency
Suggested Citation
Park SU, Mok HS, Lim JW, Seo HU, Oh SH. Efficiency Improvement by Deriving the Optimal Operating Slip Frequency of a Linear-Induction-Style Maglev Train. (2023). LAPSE:2023.28476
Author Affiliations
Park SU: Department of Electrical Engineering, Konkuk University, Seoul 05029, Korea
Mok HS: Department of Electrical Engineering, Konkuk University, Seoul 05029, Korea [ORCID]
Lim JW: Department of AI Machinery, System Engineering Research Division, Korea Institute of Machinery and Materials, Daejeon 34103, Korea
Seo HU: Department of Robotics & Mechatronics, Korea Institute of Machinery and Materials, Daejeon 34103, Korea
Oh SH: Department of Electrical Engineering, Konkuk University, Seoul 05029, Korea
Journal Name
Energies
Volume
13
Issue
24
Article Number
E6544
Year
2020
Publication Date
2020-12-11
Published Version
ISSN
1996-1073
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Original Submission
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PII: en13246544, Publication Type: Journal Article
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doi:10.3390/en13246544
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