Issue |
Mechanics & Industry
Volume 25, 2024
High fidelity models for control and optimization
|
|
---|---|---|
Article Number | 11 | |
Number of page(s) | 10 | |
DOI | https://doi.org/10.1051/meca/2024005 | |
Published online | 09 April 2024 |
A semi-implicit homogeneous discretized differentiator based on two projectors: experimental validation on a cable-driven parallel robot
1
Nantes Université, École Centrale de Nantes, CNRS, LS2N,
UMR 6004,
F-44000
Nantes,
France
2
QUARTZ EA 7393, ENSEA,
Cergy-Pontoise,
France, France
* e-mail: yannick.aoustin@univ-nantes.fr
Received:
22
February
2023
Accepted:
24
January
2024
This work is dedicated to the application of a semi-implicit homogeneous differentiator to estimate the angular velocity and the angular acceleration of each of the eight electric motors of the CRAFT cable-driven parallel robot from the recording of the angular position of their respective output shaft. These motors drive the winding or unwinding of eight cables to move the robot moving-platform. The results show that this differentiator, whose the definition is respectively based on two projectors, is an extremely efficient tool for estimating the angular velocities and accelerations of the eight motors. These estimated velocities and accelerations are much less noisy than their reference signals obtained by backward difference. Moreover, the estimated quantities obtained with this differentiator are successfully compared to those obtained by a non-linear observer based on the interpolation and numerical difference of the measured position variable. Those promising results will definitely contribute to a better control of the CRAFT robot.
Key words: Cable-driven parallel robot / velocity estimation / acceleration estimation / homogeneous differentiators / homogeneous discretized differentiators / semi-implicit Euler discretization / projectors
© L. Michel et al., Published by EDP Sciences, 2024
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.