Issue |
Mechanics & Industry
Volume 22, 2021
|
|
---|---|---|
Article Number | 38 | |
Number of page(s) | 14 | |
DOI | https://doi.org/10.1051/meca/2021036 | |
Published online | 07 July 2021 |
Regular Article
A model-based control law for vibration reduction of serial robots with flexible joints
Université Clermont Auvergne, CNRS, Clermont Auvergne INP, Institut Pascal, 63000 Clermont-Ferrand, France
* e-mail: Helene.chanal@sigma-clermont.fr
Received:
14
November
2019
Accepted:
28
May
2021
The presence of flexibilities in rotational joints can limit the kinematic performances of manipulators doing high speed tasks as Pick and Place. The problem addressed in this work concerns the vibration control of serial robots with flexible joints performing Pick and Place tasks in order to improve productivity. Based on a dynamic model of a robot with flexible joints, a model-based control law is proposed with its associated tuning methodology. The robot dynamic model is then the key point of our methodology. This dynamic model considers stiffness and damping of each flexible joint. To guarantee its accuracy, a geometrical and dynamic identification procedure is realized. The objective is to show the relevancy of the proposed approach which integrates joint flexibilities in the control law. Theoretical results based on a representative model are used to illustrate the benefit of this model-based control law compare to two other control strategies (Feedforward control and control dedicated to rigid structures). Finally, a sensitivity analysis of this control law is realized to quantify the impact of modelling error and conclude on the criticality of joint damping value on vibration decreasing.
Key words: Based-model control / robot with joint flexibilities / geometric identification / dynamic identification / dynamic modelling
© J. Farah et al., Published by EDP Sciences 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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