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High efficient crossing-order decoupling in Vold-Kalman filtering order tracking based on independent component analysis

机译:基于独立分量分析的Vold-Kalman滤波阶跃跟踪中的高效跨阶解耦

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摘要

An approach for decoupling of crossing orders in Vold-Kalman filtering order tracking (VKF_OT) is proposed in this paper. In the approach, independent component analysis (ICA) is employed to decouple the disturbance orders by separating the raw mixed signals into independent components (ICs) before performing VKF_OT. Compared with the preconditioned conjugate gradient (PCG) decoupling for VKF_OT, it is efficient in computation and does not require the instantaneous frequency information of the disturbance signals. The evaluation of the approach is presented in detail based on simulations and an experiment on a rotor test rig. Both of them give positive supports to the presented approach.
机译:提出了一种在Vold-Kalman滤波阶数跟踪(VKF_OT)中解耦交叉阶数的方法。在该方法中,采用独立分量分析(ICA)通过在执行VKF_OT之前将原始混合信号分离为独立分量(IC)来解耦干扰顺序。与用于VKF_OT的预处理共轭梯度(PCG)解耦相比,该方法计算效率高,并且不需要干扰信号的瞬时频率信息。基于仿真和转子试验台上的实验,详细介绍了该方法的评估。两者都为所提出的方法提供了积极的支持。

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