基于卡尔曼滤波的等效弹性力反馈时滞补偿

Yuki Nagatsu, S. Katsura
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引用次数: 2

摘要

提出了一种基于卡尔曼滤波的等效弹性力反馈时滞补偿方法。研究表明,时变延迟可以看作是输入输出信号中的噪声。为了实现鲁棒性,本文提出了一种基于卡尔曼滤波的时滞系统状态观测器(KFSO),在不增强时变时滞影响的情况下对时滞系统的扰动力进行估计和补偿。此外,将KFSO估计的状态变量与等效弹性力反馈相结合,提高了时滞系统的稳定性。尽管传统的时滞补偿方法在扰动作用下鲁棒性下降,但该方法在保持鲁棒性的同时保持稳定性,而不会增强时变时滞引起的噪声效应。实验结果验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Kalman filter based equivalent elastic force feedback for time-delay compensation
This research proposes a Kalman filter-based equivalent elastic force feedback approach for time-delay compensation. This research shows that the time-varying delay can be regarded as noise in the input and output signals. In order to achieve robustness, this research proposes a Kalman filter-based state observer (KFSO) in the time-delay system for the estimation and the compensation of the disturbance forces without enhancing the effect of the time-varying delay. Furthermore, the state variables estimated by the KFSO are combined with the equivalent elastic force feedback in the time-delay system in order to improve the stability. Although the robustness of conventional time-delay compensation methods deteriorate during disturbances, the proposed method can retain stability while maintaining the robustness without enhancing the noise effects caused by the time-varying delay. The proposed method is validated by experimental results.
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