Journal of the Korea Academia-Industrial cooperation Society (한국산학기술학회논문지)

The Korea Academia-Industrial cooperation Society (한국산학기술학회)
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Development of Estimation Model for Hysteresis of Friction Using Artificial Intelligent

인공 지능 알고리즘을 이용한 마찰의 히스테리시스 예측 모델 개발

  • Choi, Jeong-Ju (Technical Center for High-Performance Valves, Dong-a University)
  • 최정주 (동아대학교 고기능성밸브기술지원센터)
  • Received : 2011.04.28
  • Accepted : 2011.07.07
  • Published : 2011.07.31
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Abstract

This paper proposed the friction model using Preisach algorithm with neural network based on experimental results. In order to apply the neural network algorithm, the back propagation update rule was used and the updated weighting factor of neural network was applied to distribute function of Preisach model. In order to implement the proposed algorithm, the LabView software was used to apply to the precision control of mechanical system. The evaluation of the proposed friction model was executed through experiments.

본 논문은 기계시스템의 마찰 현상 중 히스테리시스 현상을 실험적으로 규명하고 뉴럴 네트워크 알고리즘을 이용한 프라이자흐(Preisach) 모델을 제안하였다. 제안된 모델은 실험을 통해 구한 마찰 특성을 오류역전파(back propagation) 알고리즘을 이용하여 뉴럴 네트워크의 가중 행렬(weighting factor)를 갱신할 수 있도록 하였다. 학습된 가중행렬은 프라이자흐 모델의 파라미터로 활용하였다. 마찰 거동을 규명하기 위한 실험 및 제안된 프라이자흐 모델은 LabView소프트웨어를 이용하여 구현하고 마찰이 있는 기계 및 로봇 시스템의 정밀 제어 시스템 구축을 위한 알고리즘으로 활용할 수 있도록 제안하였다. 제안된 모델의 성능은 실험을 통해 규명하였다.

Keywords

References

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