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Experiments on a visual servoing approach using disturbance observer

机译:使用干扰观察器进行视觉伺服方法的实验

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A visual servoing method has been proposed based on a disturbance observer to eliminate the effect of the off-diagonal component of the image feature Jacobian, since performance indices such as measurement sensitivity of visual features, sensitivity of the control to noise, and controllability could be improved when an image feature Jacobian was given as a block diagonal matrix. In this paper, experimental results of disturbance observer-based visual servoing are discussed, where a Samsung FARAMAN-ASI 6-axis industrial robot manipulator is employed. Also, the feature saturator is proposed to stabilize the disturbance observer loop by saturating the differential changes of the image features.
机译:已经提出了一种基于干扰观测器的视觉伺服方法,以消除图像特征雅可比矩阵的对角线分量的影响,因为性能指标(例如视觉特征的测量灵敏度,控件对噪声的灵敏度和可控性)可以达到当给定图像特征雅可比矩阵作为块对角矩阵时,此函数得到了改进。本文讨论了基于干扰观测器的视觉伺服的实验结果,其中使用了三星FARAMAN-ASI 6轴工业机器人机械手。而且,提出了特征饱和器,以通过使图像特征的微分变化饱和来稳定干扰观测器回路。

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