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AUTONOMOUS CAPTURE OF FREE-FLOATING OBJECTS USING PREDICTIVE APPROACH

机译:使用预测方法自动捕获自由漂浮物

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This paper presents an online method for autonomous capture of a free-flying object using a robotic manipulator. The motion of the object is simplified to a pure-spin rotation about a principal axis. The predictions of the object's trajectory from a Kalman filter are combined with the times from the time-optimal trajectory generator to select the earliest interception location. The capture location is actively recomputed while the robot procedes to the rendez-vous point and new information about the target trajectory becomes available. The trajectory of the manipulator may be replanned if the predictions change. This method has been called active-prediction-planning-execution in the literature. In the paper, we will present results of a MATLAB/Simulink simulation of the new interception algorithm and the experimental results showing the performance of the method. The experiments have been conducted in a novel facility using an helium airship to emulate the behaviour of a satellite.
机译:本文提出了一种使用机器人操纵器自动捕获自由飞行物体的在线方法。物体的运动简化为绕主轴的纯旋转。将来自卡尔曼滤波器的目标轨迹预测与时间最优轨迹生成器的时间相结合,以选择最早的拦截位置。在机器人前进到集合点时,将主动重新计算捕获位置,并且可以获得有关目标轨迹的新信息。如果预测发生变化,可以重新规划操纵器的轨迹。该方法在文献中被称为主动预测计划执行。在本文中,我们将介绍新拦截算法的MATLAB / Simulink仿真结果,并显示表明该方法性能的实验结果。实验是在一种新颖的设施中进行的,该设施使用氦飞艇来模拟卫星的行为。

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