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A Study on the Vibration Minimization for Realizing the High-Speed and Flexible Motion in BLDC Motor of Robot  

Lee Dong-Yeup (창원대 대학원 전기공학과)
Kim Gyu-Tak (창원대학교 공대 전기공학과)
Jung Won-Ji (창원대학교 공대 기계설계공학과)
Kim Sung-Hyun (창원대 대학원 기계설계공학과)
Publication Information
The Transactions of the Korean Institute of Electrical Engineers B / v.54, no.7, 2005 , pp. 329-334 More about this Journal
Abstract
This paper presents the optimal design for reducing the rotor inertia in order to improve the driving characteristic of BLDC motor for robots. The parallel Genetic Algorithm is performed to rotor inertia minimization in optimal design. Also, velocity profile with finite jerk method is introduced to reduce vibration of BLDC motor. As a result, a torque characteristic is same although rotor inertia is reduced to 2/3 compared with prototype model. And, maximum vibration value is reduced by 63.4[$\%$] according to the application of finite .jerk method.
Keywords
BLDC Motor of Robots Driving; Finite Jerk; Vibration Minimization; Low Inertia Design; Genetic Algorithm;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
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