Structural Engineering and Mechanics

  • 제34권1호
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  • Pages.1-14
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  • 2010
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  • 1225-4568(pISSN)
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  • 1598-6217(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Intelligent fuzzy weighted input estimation method for the input force on the plate structure

  • Lee, Ming-Hui (Department of Civil Engineering, Republic of China Military Academy) ;
  • Chen, Tsung-Chien (Department of Power Vehicle and Systems Engineering, Chung Cheng Institute of Technology, National Defense University)
  • 투고 : 2008.06.24
  • 심사 : 2009.10.16
  • 발행 : 2010.01.10
⟨ 이전 논문 다음 논문 ⟩

초록

The innovative intelligent fuzzy weighted input estimation method which efficiently and robustly estimates the unknown time-varying input force in on-line is presented in this paper. The algorithm includes the Kalman Filter (KF) and the recursive least square estimator (RLSE), which is weighted by the fuzzy weighting factor proposed based on the fuzzy logic inference system. To directly synthesize the Kalman filter with the estimator, this work presents an efficient robust forgetting zone, which is capable of providing a reasonable compromise between the tracking capability and the flexibility against noises. The capability of this inverse method are demonstrated in the input force estimation cases of the plate structure system. The proposed algorithm is further compared by alternating between the constant and adaptive weighting factors. The results show that this method has the properties of faster convergence in the initial response, better target tracking capability, and more effective noise and measurement bias reduction.

키워드

참고문헌

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