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arXiv 1702.06265eess.SYcs.SY
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任务空间一致性网络化机器人系统:分离与可操纵性

Task-Space Consensus of Networked Robotic Systems: Separation and Manipulability

Beijing Institute of Control Engineering(北京控制工程研究所);Science and Technology on Space Intelligent Control Laboratory, Beijing Institute of Control Engineering(空间智能控制重点实验室,北京控制工程研究所)

Hanlei Wang, Yongchun Xie

AI总结:

本文研究多机器人系统在不确定动力学和运动学下的任务空间一致性问题,提出基于观测器的自适应控制器,实现无任务空间速度测量的可操纵一致性,并量化系统可操纵性。

摘要:

本文研究多机器人系统在不确定动力学和运动学下的任务空间一致性问题,解决两个主要问题:在无任务空间速度测量情况下运动学和动力学环路的分离,以及系统可操纵性的量化。我们提出基于观测器的自适应控制器,实现无任务空间速度测量的可操纵一致性,并形式化可操纵性的概念以量化一致性值的可调整程度。所提出的自适应控制器采用新的分布式观测器,不依赖关节速度,并采用新的运动学参数自适应律,具有由观测和一致性误差驱动的分布式自适应运动学回归矩阵。此外,证明所提控制器具有分离性质,产生适用于大多数工业/商业机器人的自适应运动学控制器。所提基于观测器的自适应方案的性能通过数值模拟展示。

英文摘要:

In this paper, we investigate the task-space consensus problem for multiple robotic systems with both the uncertain kinematics and dynamics and address two main issues, i.e., the separation of the kinematic and dynamic loops in the case of no task-space velocity measurement and the quantification of the manipulability of the system. We propose an observer-based adaptive controller to achieve the manipulable consensus without relying on the measurement of task-space velocities, and also formalize the concept of manipulability to quantify the degree of adjustability of the consensus value. The proposed adaptive controller employs a new distributed observer that does not rely on the joint velocity and a new kinematic parameter adaptation law with a distributed adaptive kinematic regressor matrix that is driven by both the observation and consensus errors. In addition, it is shown that the proposed controller has the separation property, which yields an adaptive kinematic controller that is applicable to most industrial/commercial robots. The performance of the proposed observer-based adaptive schemes is shown by numerical simulations.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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