Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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The optimum for thrust force of slotless type Permanent Magnet Linear Synchronous Motor using neural network

신경회로망을 이용한 Slotless PMLSM의 추력 최적화

  • Lee, Dong-Yeup (Dept. of Electrical Engineering, Chang-won Univ.) ;
  • Moon, Jae-Youn (Dept. of Electrical Engineering, Chang-won Univ.) ;
  • Jo, Sung-Ho (Dept. of Electrical Engineering, Chang-won Univ.) ;
  • Kim, Gyu-Tak (Dept. of Electrical Engineering, Chang-won Univ.)
  • Published : 2002.11.14
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Abstract

This paper is deal with the method of redesign for optimum thrust model using Neural-Networks in Permanent Magnet Linear Synchrous Motor(PMLSM). This method is saved time compared with design method using only Finite Element Method(FEM). In this paper data sets for training Neural-Networks obtained using 2D FEM. To confirm the validity of the data sets for training Neural-Networks optimum values of that Is compared with results of FEM. And then. this method is verified that it could be applied to the design for Slotless type PMLSM.

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