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Analytical Procedure Based on the Matrix Structural Method for the Analysis of the Stiffness of the 2PRU–1PRS Parallel Manipulator

Published online by Cambridge University Press:  31 January 2019

Saioa Herrero ,
Charles Pinto ,
Mikel Diez Open the ORCID record for Mikel Diez [Opens in a new window]  and
Javier Corral
Saioa Herrero*
Affiliation:
Department of Mechanical Engineering, University of the Basque Country, Bilbao, Spain. E-mails: [email protected], [email protected], [email protected]
Charles Pinto
Affiliation:
Department of Mechanical Engineering, University of the Basque Country, Bilbao, Spain. E-mails: [email protected], [email protected], [email protected]
Mikel Diez
Affiliation:
Department of Mechanical Engineering, University of the Basque Country, Bilbao, Spain. E-mails: [email protected], [email protected], [email protected]
Javier Corral
Affiliation:
Department of Mechanical Engineering, University of the Basque Country, Bilbao, Spain. E-mails: [email protected], [email protected], [email protected]
*
*Corresponding author. E-mail: [email protected]
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Summary

Parallel manipulators, especially those with outputs as one translation and two rotations (1T2R), are being increasingly studied. The kinematic chains of parallel manipulators share the loads and make the stiffness higher than the stiffness of serial manipulators with equivalent limbs. This high stiffness ensures a minimal deformation of the limbs, allowing a high positioning accuracy of the endeffector. Thus, it is very important to be able to measure the stiffness in parallel manipulators. In this work, we present a novel 1T2R multi-axial shaking table (MAST) for automobile pieces testing purposes—the 2PRU–1PRS parallel manipulator—and focus on the analysis of its stiffness all over the useful workspace. Analysis methods based on matrix structural method need to be validated for every parallel manipulator, and we present these steps along with a comparison between experimental and analytical methods.

Keywords

Parallel manipulatorsStiffnessMatrix structural methodRobotics
Type
Articles
Information
Robotica , Volume 37 , Issue 8 , August 2019 , pp. 1401 - 1414
Copyright
© Cambridge University Press 2019 

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