대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)

대한전기학회 (The Korean Institute of Electrical Engineers)
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다중목적함수 신경 회로망을 이용한 slotless PMLSM의 최적 설계

Optimum design of slotless PMLSM by using multiobjective function neural network

  • Kim, Mi-Yong (Department of Electrical Engineering, Changwon National University) ;
  • Lee, Dong-Yeup (Department of Electrical Engineering, Changwon National University) ;
  • Jung, Chun-Gil (Department of Electrical Engineering, Changwon National University) ;
  • Kim, Gyu-Tak (Department of Electrical Engineering, Changwon National University)
  • 발행 : 2003.07.21
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초록

A slotless Permanent Magnet Linear Synchronous Motor (PMLSM) has good control ability but thrust density is low. So, this paper proposes inserted core type of slotless PMLSM to improve its low thrust density. Inserting the core between windings of each phase, detent force is generated by the difference of magnetic resistance in an air gap. To minimize detent force and maxize thrust, this paper applies the neural network to inserted core type of slotless PMLSM.

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