Abstract
This paper proposes a passivity-based control approach that addresses the trajectory tracking problem for a class of mechanical systems that comprises a broad range of robotic arms. The resulting controllers can be naturally saturated and do not require velocity measurements. Moreover, the proposed methodology does not require the implementation of observers, and the structure of the closed-loop system permits the construction of a Lyapunov function, which eases the convergence analysis. To corroborate the effectiveness of the methodology, we perform experiments with the Philips Experimental Robot Arm.
Original language | English |
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Title of host publication | Proceedings of the 60th IEEE Conference on Decision and Control, CDC 2021 |
Publisher | IEEE |
Pages | 2434-2439 |
ISBN (Electronic) | 978-1-6654-3659-5 |
DOIs | |
Publication status | Published - 2021 |
Event | 60th IEEE Conference on Decision and Control, CDC 2021 - Austin, United States Duration: 13 Dec 2021 → 17 Dec 2021 |
Conference
Conference | 60th IEEE Conference on Decision and Control, CDC 2021 |
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Country/Territory | United States |
City | Austin |
Period | 13/12/21 → 17/12/21 |