基于卡尔曼滤波的高阶扰动估计精确控制

Yuki Nagatsu, S. Katsura
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引用次数: 6

摘要

提出了一种基于卡尔曼滤波的高阶扰动估计方法,用于精确的反力转矩控制。该方法能够通过比例导数控制器实现反转矩控制系统。验证了所提出的反作用转矩比例导数控制器在不增强噪声效应的前提下,可以改善控制系统的性能。这是因为在PD控制器中使用了基于高阶扰动/反应转矩观测器的卡尔曼滤波估计变量。与传统的扰动观测器(dob)或反作用力观测器(rtob)相比,该观测器能够以更低的噪声水平估计扰动/外转矩及其时间导数。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。
High-order disturbance estimation using Kalman filter for precise reaction-torque control
This research proposed a high-order disturbance estimation using Kalman filter for precise reaction-torque control. The proposed method is able to realize the reaction torque control system by using the proportional-derivative controller. It is confirmed that the proposed proportional-derivative controller of reaction torque can improve control system performance without enhancing the noise effect. This is because estimated variables by the proposed Kalman filter based high order disturbance/reaction torque observer are utilized in the PD controller. The observer can estimate the disturbance/external torque and its time derivative with lower noise level than the conventional disturbance observers (DOBs) or reaction torque observers (RTOBs). Experimental results validate the proposed method.
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