约束下冗余机器人的自运动循环控制

M. Benzaoui, H. Chekireb
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引用次数: 2

摘要

为了满足现有约束条件下的要求,除了主要任务之外,对于冗余机器人,可以使用自运动(关节的内部运动)。然而,这种解决方案会导致关节空间运动循环性的丧失。在本工作中,比较了三种保证运动周期守恒的方法。后者分别基于拉格朗日函数(改进自运动解)和柔度函数(改进雅可比逆解),后者是两种方法的结合。在关节位置和速度限制的约束下,研究了在操作空间中进行轨迹跟踪的冗余机器人的控制问题。最后,以PUMA 560为原型推导出的三自由度平面机器人为例,对所提方法进行了验证。结果表明,单独使用两种方法均能保证运动的循环性,而结合使用的方法效率更高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cyclic control of redundatn robot under constraint with the self-motion method
To meet the requirements due to the existing constraints in addition to the main task, it is possible to use, for the redundant robots, the self-motion (internal motion of joints). However, this solution can lead to a loss of the motion cyclicity in joints space. In this work, three methods are compared which ensure the conservation of the movement cyclicity. These latter are based respectively on the Lagrangian one (to improve selfmotion solution), a compliance function (to improve inverse jacobian solution) and the last is a combination of both methods. We consider the control of a redundant robot which carries out a trajectory tacking in operational space with the constraints due to the position and velocity limits of joints. Also, the proposed methods are tested in the case of the 3 DOF planar robots deduced from the PUMA 560. The obtained results show that the two methods alone can ensure the motion cyclicity meanwhile the combined method is more efficient.
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