INTELLIGENT FUZZY WEIGHTED INPUT ESTIMATION METHOD FOR THE DYNAMIC FORCE INPUTS OF A CANTILEVER BEAM MOUNTED WITH CONCENTRATED MASSES

摘要

This study proposes an intelligent fuzzy weighted input estimation method for the force inputs of a cantilever beam structural system. The finite element scheme is employed to discretize the problem in space, allowing multi-dimensional problems of various geometries to be treated. The Kalman filter (KF) and the recursive least square estimator (RLSE) are two main portions of this method. In this 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 structural sytem 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.