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Tracking Control of an Articulated Intervention Autonomous Underwater Vehicle in 6DOF Using Generalized Super-twisting: Theory and Experiments

机译:推动6DOF中铰接式干预自主水下车辆的跟踪控制:理论与实验

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摘要

The articulated intervention autonomous underwater vehicle (AIAUV) is an underwater swimming manipulator with intervention capabilities. Station-keeping and trajectory tracking are essential for the AIAUV to be able to move in confined spaces and to perform intervention tasks. In this article, we propose using a generalized super-twisting algorithm (GSTA), which is an extension of the regular super-twisting algorithm, for the trajectory tracking of the position and orientation of the base of the AIAUV in six degrees of freedom (6DOF). We also propose using a higher-order sliding mode observer (HOSMO) for estimating the linear and angular velocities when velocity measurements are unavailable. Furthermore, we show the ultimate boundedness of the tracking errors for a control law using the GSTA and for a control law that combines the GSTA with an HOSMO. We also prove that the GSTA gives global uniform finite-time stability. Finally, we demonstrate the applicability of the proposed control laws with comprehensive simulation and experimental results.
机译:铰接式干预自主水下车辆(AIAUV)是一种具有干预能力的水下游泳机构。站保存和轨迹跟踪对于AIAUV能够在密闭空间中移动并执行干预任务至关重要。在本文中,我们建议使用广义超扭曲算法(GSTA),该算法是常规超扭曲算法的延伸,用于六个自由度( 6dof)。我们还建议使用高阶滑动模式观察者(HOSMO),用于估计速度测量不可用时的线性和角速度。此外,我们展示了使用GSTA和将GSTA与HOSMO结合的控制法的控制法的跟踪误差的最终界限。我们还证明了GSTA提供了全球均匀的有限时间稳定性。最后,我们展示了拟议的控制法与综合模拟和实验结果的适用性。

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