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Inverse active vibration force inputs estimation for a beam–machine system

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  • Ming-Hui Lee

Abstract

This study presents an innovative fuzzy estimator that efficiently and robustly estimates the vibratory forces of a beam–machine system. The proposed estimator includes fuzzy Kalman filter technology, which is accelerated by the fuzzy accelerating factor and the fuzzy weighting recursive least-square method, weighted by the fuzzy weighting factor based on the fuzzy logic inference system. The excellent performance of this estimator is demonstrated by comparing it with different weighting functions, distinct levels of noise covariance measurement and the initial process noise covariance. The simulation results show that the proposed method is efficient in estimating input vibration forces, giving this method great stability and precision.

Suggested Citation

  • Ming-Hui Lee, 2012. "Inverse active vibration force inputs estimation for a beam–machine system," International Journal of Systems Science, Taylor & Francis Journals, vol. 43(4), pages 764-775.
    • Handle: RePEc:taf:tsysxx:v:43:y:2012:i:4:p:764-775
    DOI: 10.1080/00207721.2010.521867
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