On the limitations of designing equally fault-tolerant configurations for kinematically redundant manipulators

R. Roberts, S. Siddiqui, A. A. Maciejewski
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引用次数: 9

Abstract

In environments that are remote and hazardous, tasks such as repairing and maintaining a robot manipulator can be extremely difficult and costly. Under such conditions, the operational reliability of a robotic system is very important and motivates the problem of designing optimally fault-tolerant manipulators. One solution to increasing the fault tolerance of a robotic system is to use kinematically redundant manipulators, as their extra degree of redundancy could be used to compensate for the failure in joint actuators. However, simply adding kinematic redundancy does not guarantee fault tolerance, rather it should be strategically added to ensure optimally fault-tolerant system. In this article the authors design nominal manipulator Jacobians that are optimally fault-tolerant to multiple joint failures. The special case when the manipulator is equally fault-tolerant to any two simultaneous joint failures is considered. While it is possible to design a six degree-of-freedom (DOF) robot manipulator to be equally fault-tolerant to any two simultaneous joint failures for three-dimensional workspaces, it is shown that no manipulator operating in a 4 or 5 dimensional workspace can be equally fault-tolerant to two failures.
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运动学冗余度机械手等容错构型设计的局限性
在偏远和危险的环境中,修理和维护机器人操纵器等任务可能极其困难和昂贵。在这种情况下,机器人系统的运行可靠性是非常重要的,并激发了设计最优容错机械手的问题。提高机器人系统容错性的一种解决方案是使用运动学冗余度机械手,因为它们的额外冗余度可以用来补偿关节执行器的故障。然而,简单地增加运动冗余并不能保证容错,而应该有策略地增加运动冗余以确保系统的最优容错。在本文中,作者设计了对多个关节失效具有最优容错性的标称机械臂雅可比矩阵。考虑了机械臂对任意两个关节同时失效具有同等容错能力的特殊情况。虽然可以设计出对三维工作空间中任意两个同时发生的关节故障具有同等容错能力的六自由度机器人,但研究表明,在4维或5维工作空间中操作的机械臂不可能对两个故障具有同等容错能力。
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