로봇 구동용 BLDC Motor의 영구자석 오버행에 따른 토크 및 진동.소음 특성

Characteristics of Torque and Vibration-Noise take into account Permanent Magnet Overhang of BLDC Motor for Robots

  • 발행 : 2006.07.01

초록

In Brushless DC Motor, there are Permanent Magnets (PMs) with driving circuit and sensor for detecting to rotor position and rotation speed. In the case of using hall IC sensor which response to magnetic flux, that is required to additional sensor magnet for rotor position detecting. Most of BLDC motor, However, take asymmetrical overhang of PM in rotor instead of additional sensor magnet for operating of hall IC sensor. The asymmetrical overhang of PM occur rotor thrust to z-axis direction that is lead to not only damage of bearing but also intensive noise and vibration. Therefore, the analysis of magnet overhang effect in the side of vibration and drive to hall If sensor is required to precise. In this paper, 2-D Finite Element Method is used to solve precise field computation and thrust of z-axis direction considering asymmetrical magnet overhang. And also the z-axis thrust from the analysis result is compared to experimental result. In conclusion, the purpose of this paper minimize to noise and vibration of BLDC Motor as analyzes to asymmetrical magnet overhang effect.

키워드

참고문헌

  1. T.J.E. Miller, Design of Brushless Permanent Magnet Motor, Clarendo Press, Oxford, 1994
  2. Renato Carlson, Michel Lajoie-Mazenc, and Ioae C. dos S. Fagundes, 'Analysis of Torque Ripple Due to Phase Commutation in Brushless de Machine' IEEE Trans. on lA, vol. 28, No.3, pp. 632-638, May/June 1992 https://doi.org/10.1109/28.137450
  3. Dan M. Ionel, Mircea Popescu, Malcolm I. McGilp, T.].E. Miller, and Stephen J. Dellinger 'Assessment of Torque Components in Brushless Permanent-Magnet Machines Through Numerical Analysis of the Electromagnetic Field', IEEE Trans. on Industry Application, vol. 41. No.5, pp. 1149-1158, Sep'/Oct. 2005 https://doi.org/10.1109/TIA.2005.853377
  4. Jason R. Stack, Thomas G. Habetler, and Ronald G. Harley, 'Fault-Signature Modeling and Detection of Inner-Race Bearing Faults', IEEE Trans. on Industry Application, vol. 42. No.1, pp. 61-68, Jan./Feb. 2006 https://doi.org/10.1109/TIA.2005.861365