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Path planning for satellite mounted robots

机译:卫星安装机器人的路径规划

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One of the most important problems in space based robotics is the disturbance to the satellite attitude and to the satellite microgravity environment caused by satellite mounted robot operation. This paper reports on the development of algorithms for optimal path planning that minimizes these disturbance, and solve the inverse kinetics problem, i.e. with the satellite attitude control system off. Specific optimality criteria are sutdied, including minimum induced angular velocity of the satellite and minimizing the maximum acceleration of the satellite center of mass. In addition, the space based analog is generated for the common ground based linear interpolation in joint or Cartesian space, i.e. shortest distance paths. Some properties of the various types of optimal paths are developed analytically, and understanding of the typical nature of the optimal paths is obtained in numerical examples. The shortest paths in principal planes, seen in inertial space, are shown to be arcs of circles. The computation required to produce such optimized trajectories is 1 or 2 minutes on a workstation, and methods can be used to substantially decrease this number if necessary. Thus, it can be practical to make use of these optimized path plans in space.
机译:天基机器人技术中最重要的问题之一是卫星安装的机器人操作对卫星姿态和卫星微重力环境的干扰。本文报告了最佳路径规划算法的发展情况,该算法可最大程度地减少这些干扰并解决逆动力学问题,即在关闭卫星姿态控制系统的情况下。提出了特定的最佳标准,包括最小的卫星感应角速度和最小化卫星质心的最大加速度。另外,针对关节或笛卡尔空间(即最短距离路径)中基于公共地面的线性插值生成基于空间的模拟。通过分析开发各种类型的最佳路径的某些属性,并在数值示例中获得对最佳路径的典型性质的理解。从惯性空间看,主平面中的最短路径显示为圆弧。在工作站上生成这种优化轨迹所需的计算是1或2分钟,并且可以根据需要使用方法来大幅减少该数量。因此,在空间中利用这些优化的路径计划可能是实际的。

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