Structural Engineering and Mechanics

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Estimation of structure system input force using the inverse fuzzy estimator

  • Lee, Ming-Hui (Department of Civil Engineering, Chinese Military Academy)
  • Received : 2009.11.11
  • Accepted : 2010.10.20
  • Published : 2011.02.25
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Abstract

This study proposes an inverse estimation method for the input forces of a fixed beam structural system. The estimator includes the fuzzy Kalman Filter (FKF) technology and the fuzzy weighted recursive least square method (FWRLSM). In the estimation method, the effective estimator are accelerated and weighted by the fuzzy accelerating and weighting factors proposed based on the fuzzy logic inference system. By directly synthesizing the robust filter technology with the estimator, this study presents an efficient robust forgetting zone, which is capable of providing a reasonable trade-off between the tracking capability and the flexibility against noises. The period input of the fixed beam structure system can be effectively estimated by using this method to promote the reliability of the dynamic performance analysis. The simulation results are compared by alternating between the constant and adaptive and fuzzy weighting factors. The results demonstrate that the application of the presented method to the fixed beam structure system is successful.

Keywords

Acknowledgement

Supported by : National Science Council of the Republic of China

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