• DocumentCode
    2829883
  • Title

    Intelligent Estimation Method for the Force Inputs Determination of a Cantilever Beam Structural System

  • Author

    Lee, Ming-Hui

  • Author_Institution
    Dept. of Civil Eng., Chinese Mil. Acad., Kaohsiung, Taiwan
  • fYear
    2011
  • fDate
    June 30 2011-July 2 2011
  • Firstpage
    131
  • Lastpage
    137
  • Abstract
    An intelligent fuzzy weighted input estimation method is used to estimate the force inputs of a cantilever beam structural system in this study. The Kalman filter without the input term and the adaptive weighted recursive least square estimator are two main portions of this method. In the estimation method, the efficient estimator is weighted by the fuzzy weighting factor proposed based on the fuzzy logic inference system. By directly synthesizing the Kalman filter with the estimator, this work presents an efficient robust forgetting zone, which is capable of providing a reasonable tradeoff between the tracking capability and the flexibility against noises. The input forces of structure system can be estimated by this method to promote the analysis reliability of the dynamic performance. The simulation results are compared by alternating between the constant and adaptive weighting factors. The results demonstrate that the application of the presented method is successful in coping with the dynamic system of cantilever beam.
  • Keywords
    Kalman filters; beams (structures); cantilevers; fuzzy logic; fuzzy reasoning; mechanical engineering computing; Kalman filter; adaptive weighted recursive least square estimator; cantilever beam structural system; force inputs determination; fuzzy logic inference system; intelligent estimation method; intelligent fuzzy weighted input estimation method; Estimation; Force; Fuzzy logic; Kalman filters; Mathematical model; Noise; Structural beams; fuzzy logic; input estimation method; kalman filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Complex, Intelligent and Software Intensive Systems (CISIS), 2011 International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-61284-709-2
  • Electronic_ISBN
    978-0-7695-4373-4
  • Type

    conf

  • DOI
    10.1109/CISIS.2011.28
  • Filename
    5988979