Robot motions in task space with control constraints

M. Galicki
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Abstract

This paper considers the problem of position control of robotic manipulators in task space. Based on Lyapunov stability theory, it is shown that the control strategy proposed is asymptotically convergent to the task error whose ultimate bound can be made arbitrarily small. As opposed to most other existing approaches, our algorithm also takes into account actuator constraints when positioning the end-effector to its desired final location. Moreover, it produces continuous controls with respect to time which are very desirable in all control algorithms. Computer simulations are presented for a two degree-of-freedom direct drive robot arm which are in accordance with the theoretical analysis. They also confirm that the proposed control strategy provides a simple and effective means of obtaining high accuracy end-effector positioning.
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具有控制约束的任务空间中的机器人运动
研究了机器人在任务空间中的位置控制问题。基于李雅普诺夫稳定性理论,证明了所提出的控制策略是渐近收敛于任务误差的,任务误差的极限界可以任意小。与大多数其他现有方法相反,我们的算法在将末端执行器定位到所需的最终位置时也考虑了执行器的约束。此外,它产生了关于时间的连续控制,这在所有控制算法中都是非常理想的。对一种二自由度直接驱动机械臂进行了计算机仿真,仿真结果与理论分析一致。结果表明,所提出的控制策略提供了一种简单有效的获得高精度末端执行器定位的方法。
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