悬臂梁结构系统力输入确定的智能估计方法

Ming-Hui Lee
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引用次数: 0

摘要

本文采用一种智能模糊加权输入估计方法来估计悬臂梁结构系统的力输入。无输入项卡尔曼滤波和自适应加权递推最小二乘估计是该方法的两个主要部分。在估计方法中,利用基于模糊逻辑推理系统提出的模糊加权因子对有效估计量进行加权。通过将卡尔曼滤波器与估计器直接合成,本文提出了一个有效的鲁棒遗忘区,该遗忘区能够在跟踪能力和抗噪声灵活性之间提供合理的权衡。该方法可对结构体系的输入力进行估计,提高了结构动力性能分析的可靠性。通过常数加权因子和自适应加权因子的交替,对仿真结果进行了比较。结果表明,该方法在悬臂梁动力系统中的应用是成功的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent Estimation Method for the Force Inputs Determination of a Cantilever Beam Structural System
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.
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