Comparison of Explicit and Implicit Numerical Integrations for a Tendon-Driven Robot

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Comparison of Explicit and Implicit Numerical Integrations for a Tendon-Driven Robot

Testard, Nicolas J. S. / Chevallereau, Christine / Wenger, Philippe

A tendon-driven robot inspired from the bird neck is studied in this paper. The objective is to propose numerical integrations for this robot. The classical explicit and implicit Euler integration schemes can be used on this robot. When the elasticity in the tendons is not considered, these schemes are stable and give similar numerical integration results but the explicit implementation is faster. By considering the dynamics of the robot joints on one hand and the dynamics of the motors on the other hand, we propose two Euler integration schemes, explicit and implicit, that take into account the elasticity in the tendons. These schemes rely on the dynamics of the robot joints on the one hand, and on the dynamics of the motors on the other hand and it links them by the tendon elastic model. We observe that with the tendon elasticity model, the explicit integration becomes unstable, depending on the time step, while the implicit one stays stable. The numerical integration that uses this implicit scheme with tendon elasticity allows one to obtain more precise results, while the model of the system is more realistic. Moreover, the evolution of the tendon elongation during a desired motion can be obtained while they are computed in the integration scheme.

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Document information

Title :

Comparison of Explicit and Implicit Numerical Integrations for a Tendon-Driven Robot

Additional title:

Mechan. Machine Science

Contributors:

Caro, Stéphane (editor) / Pott, Andreas (editor) / Bruckmann, Tobias (editor) / Testard, Nicolas J. S. (author) / Chevallereau, Christine (author) / Wenger, Philippe (author)

Conference:

International Conference on Cable-Driven Parallel Robots ; 2023 ; Nantes, France June 25, 2023 - June 28, 2023

Published in:

Cable-Driven Parallel Robots ; Chapter : 19 ; 234-245

Mechanisms and Machine Science ; 132

Publication date :

2023-06-03

Size :

12 pages

ISBN :

978-3-031-32322-5 , 978-3-031-32321-8

ISSN :