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Incremental displacement estimation (IDE) for structural health monitoring robot

机译:结构健康监测机器人的增量位移估算(IDE)

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摘要

To measure 6-DOF displacement, a visually servoed paired structured light system (ViSP) has been introduced which is composed of two sides facing with each other, each with one or two lasers, a camera, a screen, and a 2-DOF manipulator. In the system, the lasers on both two sides project their parallel beams to the screen on the opposite side and 6-DOF relative displacement between two sides can be calculated using the positions of the three projected laser beams and the rotation angles of the manipulators. In the estimation process, extended Kalman filter (EKF) or Newton-Raphson method have been used. However, these aforementioned iterative methods have a drawback that the computation time is relatively long due to the multiple iterations. Therefore, in this paper, incremental displacement estimation (IDE) algorithm which updates the previously estimated displacement using the difference of the previous and the current observed data is introduced. To validate the performance of the newly proposed algorithm, various experimental tests have been performed. The results show that the ViSP with the IDE algorithm estimates the 6-DOF relative displacement between two sides with the same level of accuracy of EKF with multiple iterations in significantly reduced time.
机译:为了测量6自由度位移,引入了视觉伺服成对结构光系统(ViSP),该系统由彼此面对的两个侧面组成,每个侧面带有一个或两个激光器,一个摄像头,一个屏幕和一个2-DOF机械手。 。在该系统中,两侧的激光将其平行光束投射到相对侧的屏幕上,并且可以使用三个投射的激光束的位置和操纵器的旋转角度来计算两侧之间的6自由度相对位移。在估计过程中,使用了扩展卡尔曼滤波器(EKF)或牛顿-拉夫森方法。但是,这些上述迭代方法的缺点在于,由于多次迭代,计算时间相对较长。因此,在本文中,引入了增量位移估计(IDE)算法,该算法利用先前和当前观测数据的差异来更新先前估计的位移。为了验证新提出算法的性能,已进行了各种实验测试。结果表明,采用IDE算法的ViSP可以以相同的EKF精度估算两侧之间的6自由度相对位移,并且可以显着减少时间进行多次迭代。

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