Trajectory Tracking for Robotic Arms with Input Saturation and only Position Measurements

Conference Paper (2021)
Author(s)

Pablo Borja (TU Delft - Learning & Autonomous Control)

J. van der Veen (Rijksuniversiteit Groningen)

J. M.A. Scherpen (Rijksuniversiteit Groningen)

Research Group
Learning & Autonomous Control
Copyright
© 2021 L.P. Borja Rosales, J. Van Der Veen, J. M.A. Scherpen
DOI related publication
https://doi.org/10.1109/CDC45484.2021.9683112
More Info
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Publication Year
2021
Language
English
Copyright
© 2021 L.P. Borja Rosales, J. Van Der Veen, J. M.A. Scherpen
Research Group
Learning & Autonomous Control
Pages (from-to)
2434-2439
ISBN (electronic)
978-1-6654-3659-5
Reuse Rights

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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.

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