Title :
Intelligent Estimation Method for the Force Inputs Determination of a Cantilever Beam Structural System
Author_Institution :
Dept. of Civil Eng., Chinese Mil. Acad., Kaohsiung, Taiwan
fDate :
June 30 2011-July 2 2011
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;
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
DOI :
10.1109/CISIS.2011.28