Optimal Design of Superconducting Motor to Improve Power Density Using 3D EMCN and Response Surface Methodology

This paper proposes an effective design process for 1 MW HTS superconducting motor by using 3-dimensional equivalent magnetic circuit network method (3D EMCN) and response surface methodology (RSM). During the process, 3D EMCN is used with a simplified 3D analysis model to get electric parameters in...

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Bibliographic Details
Published in:IEEE transactions on applied superconductivity 2006-06, Vol.16 (2), p.1819-1822
Main Authors: LEE, Ji-Young, KIM, Sung-Il, HONG, Jung-Pyo, JO, Young-Sik, SOHN, Myung-Hwan, BAIK, Seung-Kyu, KWON, Young-Kil
Format: Article
Language:English
Subjects:
3D analysis
Applied sciences
Density
Design engineering
Design optimization
Electric power generation
Electrical engineering. Electrical power engineering
Electrical machines
Equivalent magnetic circuit network
Exact sciences and technology
High temperature superconductors
Magnetic analysis
Mathematical models
Miscellaneous
Motors
Optimization
Process design
Reactive power
Response surface methodology
Superconducting coils
Superconducting device noise
Superconducting films
superconducting motor
Superconductivity
Synchronous motors
Three dimensional
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Summary:This paper proposes an effective design process for 1 MW HTS superconducting motor by using 3-dimensional equivalent magnetic circuit network method (3D EMCN) and response surface methodology (RSM). During the process, 3D EMCN is used with a simplified 3D analysis model to get electric parameters in short time. RSM is used for the motor optimal design to improve power density. The usefulness of this method is verified through the comparison of the performances of the optimal geometry and those of the initial geometry
ISSN:1051-8223
1558-2515
DOI:10.1109/TASC.2005.869633