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Application of adaptive lattice filters for modal parameter tracking of a single flexible link carrying a shifting payload

机译:自适应晶格滤波器在携带移位有效载荷的单个柔性链路的模态参数跟踪中的应用

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摘要

In this paper an alternative approach using adaptive lattice niters (ALF) for the on-line identification of the transfer function of a single flexible link with shifting payloads is presented. The link's dynamics are altered through the introduction of various payloads, which result in a shift of its natural frequencies. The ability of the ALF algorithm for the identification of the time-shifting system's dynamics and the tracking of its corresponding natural frequencies during their shiftings is the motivating factor behind the ALF-utilization. The provided experimental results and their comparison with the theoretical ones prove the efficacy of the proposed approach. Finally the capabilities of the proposed identification scheme are compared with the experimental results gained from the classical least mean squares algorithm (LMS) which has similar computational complexity with the ALF algorithm.
机译:在本文中,提出了一种使用自适应晶格结构(ALF)在线识别带有有效载荷移位的单个柔性链接的传递函数的方法。通过引入各种有效载荷来改变链路的动态,从而导致其固有频率发生变化。 ALF算法能够识别时移系统的动力学特性,并能在其移动过程中跟踪其相应的固有频率,这是ALF利用背后的动力。所提供的实验结果以及与理论上的比较证明了该方法的有效性。最后,将提出的识别方案的功能与经典最小均方算法(LMS)获得的实验结果进行比较,该算法的计算复杂度与ALF算法相似。

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