Journal of KSNVE (소음진동)

The Korean Society for Noise and Vibration Engineering (한국소음진동공학회)
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A study on the Parameter Identification for a Mechanical Dynamic System Using a Time-Domain Extened Kalman Filter Algorithm

시간 영역에서의 Extended Kalman Filter 알고리즘을 이용한 동적 기계 시스템의 파라미터 추정에 관한 연구

  • 이용복 (한국과학기술연구원, Tribology 연구실) ;
  • 김창호 (한국과학기술연구원, Tribology 연구실) ;
  • 사종성 (한양대학교공과대학정밀기계공학과) ;
  • 김광식 (한양대학교공과대학정밀기계공학과)
  • Published : 1992.06.01
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Abstract

The Extended Kalman Filter(EKF) algorithm estimates variables and unknown parameters simultaneously and is applied to parameter identification of linear and nonlinear mechanical systems. In this paper, an EKF algorithm was developed through a computer simulation and then applied to a sealing test system as a practical example. Comparing with the frequency domain analysis, it was proved to be a useful alternative for the parameter identification.

Keywords

References

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