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Precision comparison of two 3-DoF translational parallel manipulators based on the orientation errors due to joint clearances

Published online by Cambridge University Press:  06 May 2022

Y. Chouaibi Open the ORCID record for Y. Chouaibi [Opens in a new window] ,
A.H. Chebbi ,
Z. Affi  and
L. Romdhane Open the ORCID record for L. Romdhane [Opens in a new window]
Y. Chouaibi*
Affiliation:
Higher Institute for Technological Studies of Sidi Bouzid, Tunisia LGM, National Engineering School of Monastir, Tunisia
A.H. Chebbi
Affiliation:
LGM, National Engineering School of Monastir, Tunisia
Z. Affi
Affiliation:
LGM, National Engineering School of Monastir, Tunisia
L. Romdhane
Affiliation:
College of Engineering, American University of Sharjah, UAE
*
*Corresponding author E-mail: chouaibi_youssef@yahoo.fr
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Abstract

This paper presents a comparative study of two translational parallel manipulators (TPMs) with three Degrees of Freedom (3-DOF) based on the orientation errors due to joint clearances. In fact, the kinematic and static models of the manipulators have been used to determine the analytical model of the orientation errors. Then, the maximum and the sensitivity of the orientation errors have been considered as criteria to compare the precision of the DELTA and the RAF manipulators. The maximum orientation error is determined by solving an optimization problem of the previous analytical model. The sensitivity of the orientation errors is divided into two types: one related to the sensitivity of the orientation errors to the geometric parameters and another one related to the sensitivity of the orientation error to the joint clearances. The results show that the RAF robot precision is more sensitive to the joint clearances than the DELTA one. However, this advantage of the DELTA is limited to a portion of the workspace, which is free from singular configurations.

Keywords

parallel manipulatororientation errorsensitivityjoint clearancegeometric parameters
Type
Research Article
Information
Robotica , Volume 40 , Issue 10 , October 2022 , pp. 3751 - 3767
Copyright
© The Author(s), 2022. Published by Cambridge University Press

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