Sliding Mode Momentum Observers for Estimation of External Torques and Joint Acceleration

被引:17
作者
Garofalo, Gianluca [1 ]
Mansfield, Nico [1 ]
Janko, Julius [1 ]
Ott, Christian [1 ]
机构
[1] German Aerosp Ctr DLR, Inst Robot & Mechatron, Wessling, Germany
来源
2019 INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA) | 2019年
基金
欧盟地平线“2020”;
关键词
COLLISION DETECTION;
D O I
10.1109/icra.2019.8793529
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Interactions between robots and their environment give rise to external wrenches acting on the robot structure. The estimation of the resulting torques in the joints is fundamental in human-robot interaction to detect/identify collisions and perform suitable reaction strategies. Other applications may require to use the estimation for compensating the effects of the external torques within the control loop. The well-established momentum observer, which relies on proprioceptive sensors only, is usually used for these purposes. In this work, the momentum dynamics is used to derive new observers. While the classic momentum observer provides a first-order filtered version of the external torques, here a (theoretically) finite-time convergence is achieved. Simulations and experiments are used to validate the performance of the proposed methods.
引用
收藏
页码:6117 / 6123
页数:7
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