Force sensing considering periodic disturbance suppression based on high order disturbance observer and Kalman-filter

Thao Tran Phuong, R. Furusawa, C. Mitsantisuk, K. Ohishi
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引用次数: 3

Abstract

Disturbance rejection has been one of foremost issues in control engineering for the past several decades. Disturbance observer is an effective technique to diminish the adverse effects of disturbances. However, in practical applications, there are cases in which the estimated disturbance is affected by vibration phenomenon or additional oscillatory disturbance which is not addressed by the conventional disturbance observer. This paper proposes a high order disturbance observer for force sensing operation and suppression of periodic disturbance in order to achieve an efficient force control. To be practical, the noisy problem of the measurement is taken into account. A Kalman-filter is used in combination with the high order disturbance observer to reduce the noise effect. The feasibility of the proposed method is demonstrated by numerical simulation results.
基于高阶扰动观测器和卡尔曼滤波的周期性扰动抑制力传感
在过去的几十年里,干扰抑制一直是控制工程中的重要问题之一。扰动观测器是减小扰动不利影响的一种有效技术。然而,在实际应用中,有一些情况下,估计的干扰受到振动现象或额外的振荡干扰的影响,而传统的干扰观测器无法解决这些干扰。为了实现有效的力控制,本文提出了一种用于力传感操作和抑制周期性扰动的高阶扰动观测器。为了实用,考虑了测量中的噪声问题。采用卡尔曼滤波和高阶扰动观测器相结合的方法来降低噪声的影响。数值仿真结果验证了该方法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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