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Pipeline tracking for fully-actuated autonomous underwater vehicle using visual servo control

机译:使用视觉伺服控制的全驱动自主水下航行器的管道跟踪

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This paper describes a nonlinear image-based visual servo control algorithm for the pipeline tracking problem of a fully-actuated underwater vehicle. The dynamic model of a generic autonomous underwater vehicle (AUV), incorporating all significant forces and torques is developed and a generic velocity control strategy is proposed. The desired velocities in the plane orthogonal to the direction of the pipeline along with the yaw velocity are derived from the image sequence using bi-normalised Plu¨cker coordinates of the pipeline borders. The desired velocity along the pipeline is specified by the operator and finally the desired velocities in pitch and roll angles are set to zero. The asymptotic stability of the visual servo control strategy is proved and simulation testing is carried out to show performance of the control approach.
机译:本文描述了一种基于非线性图像的视觉伺服控制算法,该算法用于全驱动水下航行器的管道跟踪问题。建立了包含所有重要作用力和扭矩的通用自主水下航行器(AUV)的动力学模型,并提出了通用速度控制策略。使用管道边界的双标准化普勒克坐标,从图像序列中得出与管道方向正交的平面中的所需速度以及偏航速度。沿管道的期望速度由操作员指定,最后将俯仰角和侧倾角的期望速度设置为零。证明了视觉伺服控制策略的渐近稳定性,并通过仿真测试证明了该控制方法的性能。

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