数据融合的离散时间滑模控制器性能

J. Arunshankar, M. Umapathy, B. Bandhopadhyay
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引用次数: 0

摘要

本研究旨在评估多传感器数据融合(MSDF)逼近律离散时间滑模控制器的闭环性能。本文考虑了六种不同的融合算法来测量和控制压电驱动悬臂梁的结构振动。用两个压电均匀传感器测量振动。每个传感器输出使用单独的估计器来生成状态,然后进行融合。利用基于ARX模型的线性递归最小二乘(RLS)方法识别的线性动态模型,与单传感器情况相比,说明了数据融合闭环性能的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance of discrete time sliding mode controller with data fusion
This work aims in evaluating the closed loop performance of reaching law based discrete time sliding mode controller with multisensor data fusion (MSDF). The work considers six different fusion algorithms, to measure and control the structural vibration of piezo actuated cantilever beam. The vibration is measured using two piezo homogeneous sensors. Each sensor output uses separate estimator, for generating the states, which are then fused. The linear dynamic model identified using linear Recursive Least Square (RLS) method based on ARX model is used to illustrate the effectiveness of closed loop performance with data fusion, as compared to the single sensor case.
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