Linear Drive Systems and their Related Technologies. On the Design of Single Sided Linear Induction Motors for Urban Transit Using a Nonlinear Optimization Technique.
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- Higuchi Tsuyoshi
- Nagasaki University
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- Himeno Koji
- Nagasaki University
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- Nonaka Sakutaro
- Kinki University
Bibliographic Information
- Other Title
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- リニアドライブと関連技術 非線形最適化手法による新都市交通用片側式リニア誘導モータの設計について
- ヒセンケイ サイテキカ シュホウ ニ ヨル シン トシ コウツウヨウ カタガワ
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Abstract
The urban transit with single-sided linear induction motor (SLIM) propulsion and wheel on rail support and guidance have been in the stage for practical application.<br>This paper presents a method of optimizing the design parameters of the SLIM using nonlinear optimization technique. In the formulation of the optimization problem, the performance characteristics are estimated using space harmonic analysis taking into account the end effect, skin effect and air gap leakage. The transformation method and the simplex method are applied to solve the problem. As the transformation methods, the exterior point transformation are used. Seven parameters are chosen as the independent variables, such as the number of poles, the pole pitch, the stack height, the secondary aluminium sheet thickness, the overhang length, the slot width/slot pitch and the rated slip. The output KW/input KVA, the maximum flux density in teeth, the temperature rise, the primary length, the stack height, overhang length, the maximum thrust and the vertical force are selected as the constraint function.<br>The SLIM design is analyzed under four objective functions; the primary weight, the input KVA, the cost of secondary materials and energy consumption. Furthermore, the design is regarded as the multi-objective programing problem and the computed design example is shown.
Journal
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- IEEJ Transactions on Industry Applications
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IEEJ Transactions on Industry Applications 115 (3), 255-262, 1995
The Institute of Electrical Engineers of Japan
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Details 詳細情報について
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- CRID
- 1390001204656273920
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- NII Article ID
- 10002817101
- 10005318615
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- NII Book ID
- AN10012320
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- ISSN
- 13488163
- 09136339
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- NDL BIB ID
- 3598790
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed