Singularity-free path planning of dual-arm space robot for keeping the base inertially stabilized during target capturing

Wenfu Xu, Houde Liu, Y. She, Bin Liang
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引用次数: 8

Abstract

Compared with a single-arm space robot, a dual-arm or multi-arm system has much more dexterity and flexibility, and can complete more complex tasks. In this paper, oordinated path planning methods are proposed for a dual-arm space robotic system to capture a target and stabilize the base at the same time. Two typical applications are considered — keeping the centroid of the base fixed (approximately; the same below), and keeping the pose (attitude and the centroid position) of the base fixed synchronously. Firstly, the concept “Base Centroid Virtual Manipulator” is presented, and its kinematic model is directed. Based on the resolution of the position-level kinematic equation, the motion of the balance arm for stabilize the base's centroid is planned. Furthermore, combining with the control of reaction flywheel, whose angular speed is determined according to the angular momentum conservation law, the base's attitude and centroid can be kept fixed at the same time. The proposed methods overcome the singularity problem, which is un-avoidable for those based on differential kinematics.
双臂空间机器人捕获目标时保持基座惯性稳定的无奇异路径规划
与单臂空间机器人相比,双臂或多臂系统具有更大的灵活性和灵活性,可以完成更复杂的任务。提出了一种双臂空间机器人系统同时捕获目标和稳定基座的协调路径规划方法。考虑了两种典型的应用-保持基座的质心固定(大约;(下同),并保持基座的姿态(姿态和质心位置)同步固定。首先,提出了“基质心虚拟机械臂”的概念,并建立了其运动学模型。基于位置级运动学方程的解析,规划了稳定基座质心的平衡臂运动。此外,结合根据角动量守恒定律确定角速度的反作用飞轮控制,可以使基座的姿态和质心同时保持固定。所提出的方法克服了基于微分运动学的方法不可避免的奇异性问题。
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