A robust geometric method of singularity avoidance for kinematically redundant planar parallel robot manipulators
File(s)MMT Paper Final Submission.pdf (908.63 KB)
Accepted version
Author(s)
Baron, Nicholas
Philippides, Andrew
Rojas, Nicolas
Type
Journal Article
Abstract
Jacobian-based methods of singularity analysis are known to be unreliable when applied to kinematically redundant parallel robot manipulators, due to their potential to miss certain singularities and incorrectly identify others in the manipulator’s workspace. In this paper, a geometric method of singularity avoidance for kinematically redundant planar parallel robot manipulators is presented, which firstly determines the manipulator’s proximity to a singularity and then computes how the kinematically redundant degree(s) of freedom should be optimised for the given pose of the end-effector. The singularity analysis is conducted by examining the mechanism in terms of the instantaneous centres of rotation of its corresponding mobility one sub-mechanisms when all but one of the actuators are locked, where the manipulator is in a type-II singularity when these points either are indeterminable or coincide with one another, and an index, rmin, is introduced which describes the minimum normalised distance from such conditions being met. A predictor-corrector method is employed to compute the configuration for which rmin is optimised, and is reachable without crossing a singularity. Finally, the advantages of the geometric method of singularity analysis are shown in comparison to traditional Jacobian-based methods when applied to kinematically redundant parallel robot manipulators.
Date Issued
2020-09
Date Acceptance
2020-02-25
Citation
Mechanism and Machine Theory, 2020, 151, pp.1-14
ISSN
0094-114X
Publisher
Elsevier
Start Page
1
End Page
14
Journal / Book Title
Mechanism and Machine Theory
Volume
151
Copyright Statement
© 2021 Elsevier Ltd. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/
Identifier
https://www.sciencedirect.com/science/article/pii/S0094114X20300847?via%3Dihub
Subjects
Design Practice & Management
0906 Electrical and Electronic Engineering
0910 Manufacturing Engineering
0913 Mechanical Engineering
Publication Status
Published
Date Publish Online
2020-04-23