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The Improvement of Efficiency Performance for Moving Magnet Type Linear Actuator Using the Neural Network and Finite Element Method  

조성호 (창원대학교 공대 전기공학과)
김덕현 (안동정보대학 전기과)
김규탁 (창원대학교 공대 전기공학과)
Publication Information
The Transactions of the Korean Institute of Electrical Engineers B / v.53, no.2, 2004 , pp. 63-68 More about this Journal
Abstract
This paper presents an approach to optimum design of Moving Magnet Type Linear Oscillatory Actuator(MM-LOA). The Finite Element Method is applied to characteristic parameters for characteristic analysis and in order to reduce modeling time and efforts, the moving model node technique is used. In addition the neural network is used to reduce computational time of analysis according to changing design variable. To confirm the validity of this study, optimum design results are compared with results of analysis procedure that is verified by experiment.
Keywords
Moving Magnet Type Linear Oscillatory Actuator(MM-LOA); moving model node technique; the neural network, optimum design;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
연도 인용수 순위
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