Generalized momentum based-observer for robot impact detection — Insights and guidelines under characterized uncertainties

Nolwenn Briquet-Kerestedjian 1 Maria Makarov 1 Mathieu Grossard 2 Pedro Rodriguez-Ayerbe 1
1 L2S - Laboratoire des signaux et systèmes
2 LIST - Laboratoire d'Intégration des Systèmes et des Technologies
Abstract : In the context of human-robot interaction, detecting an impact between a serial robot manipulator and the human operator or its environment efficiently and at the earliest is essential for safe and efficient operations. This work relies on the generalized momentum based-observer for robot impact detection using only motor/joint information and characterizes the uncertainties to quantify the expected sensitivity of detection. Indeed, modeling uncertainties affect the external torque estimation in the same structural way as external disturbances and no structural decoupling is reachable between both. For this purpose in this study, modeling uncertainties are divided into parametric and numerical differentiation errors. Their contribution in process and measurement noises is detailed and then approximated by a white noise of characterized variance for the observer design. High-level tuning guidelines are provided for the design parameters depending on the expected speed and sensitivity of detection. This approach is applied experimentally on the CEA robot arm manipulator.
Type de document :
Communication dans un congrès
1st IEEE Conference on Control Technology and Applications (CCTA 2017), Aug 2017, Mauna Lani Resort, HI, USA, USA United States. pp.1282-1287, 2017, 〈10.1109/ccta.2017.8062635 〉
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https://hal-centralesupelec.archives-ouvertes.fr/hal-01621674
Contributeur : Maria Makarov <>
Soumis le : lundi 23 octobre 2017 - 16:56:02
Dernière modification le : lundi 24 septembre 2018 - 11:34:03

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CENTRALESUPELEC | TDS-MACS | L2S | CEA | DRT | SUP_LSS | UNIV-PARIS-SACLAY | SUP_SYSTEMES | LIST | CEA-UPSAY

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Nolwenn Briquet-Kerestedjian, Maria Makarov, Mathieu Grossard, Pedro Rodriguez-Ayerbe. Generalized momentum based-observer for robot impact detection — Insights and guidelines under characterized uncertainties. 1st IEEE Conference on Control Technology and Applications (CCTA 2017), Aug 2017, Mauna Lani Resort, HI, USA, USA United States. pp.1282-1287, 2017, 〈10.1109/ccta.2017.8062635 〉. 〈hal-01621674〉

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