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Dimensional Synthesis and Performance Evaluation of Four Translational Parallel Manipulators

Published online by Cambridge University Press:  22 June 2020

I. Ben Hamida
Affiliation:
Department of GMSC, Pprime Institute, CNRS, University of Poitiers, ENSMA, UPR 3346, France. E-mails: [email protected], [email protected] Mechanical Laboratory of Sousse, National Engineering School of Sousse, University of Sousse, Tunisia. E-mails: [email protected], [email protected], [email protected]
M. A. Laribi*
Affiliation:
Department of GMSC, Pprime Institute, CNRS, University of Poitiers, ENSMA, UPR 3346, France. E-mails: [email protected], [email protected]
A. Mlika
Affiliation:
Mechanical Laboratory of Sousse, National Engineering School of Sousse, University of Sousse, Tunisia. E-mails: [email protected], [email protected], [email protected]
L. Romdhane
Affiliation:
Mechanical Laboratory of Sousse, National Engineering School of Sousse, University of Sousse, Tunisia. E-mails: [email protected], [email protected], [email protected] Department of Mechanical Engineering, American University of Sharjah, PO Box 26666 Sharjah, UAE
S. Zeghloul
Affiliation:
Department of GMSC, Pprime Institute, CNRS, University of Poitiers, ENSMA, UPR 3346, France. E-mails: [email protected], [email protected]
*
*Corresponding author. E-mail: [email protected]

Summary

The optimum selection of a structure for a given application is a capital phase in typological synthesis of parallel robots. To help in this selection, this paper presents a performance evaluation of four translational parallel robots: Delta, 3-UPU, Romdhane-Affi-Fayet, and Tri-pyramid (TP). The problem is set as a multiobjective optimization using genetic algorithm methods, which uses kinematic criteria, that is, global dexterity and compactness, to ensure a prescribed workspace. The results are presented as Pareto fronts, which are used to compare the performances of the aforementioned structures. The obtained results show that the TP robot has the best kinematic performance, whereas the 3-UPU robot is the most compact for a given prescribed workspace.

Type
Articles
Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press

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