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Kinematic analysis of overconstrained manipulators with partial subspaces using decomposition method

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Date

2022

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Cambridge Univ Press

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Makine Mühendisliği
Bölümümüzün amacı makine mühendisliğinde hem eğitim ve hem de araştırmada kalite, mükemmeliyet, inovasyon ve seçkinlikte ulusal ve uluslararası bir marka olarak tanınmayı; yakın gelecekte, tercih edilen bir ulusal makine mühendisliği programı olmayı; seçilmiş “teknoloji kanıtlama programları” ile öncü teknolojilerde sanayiye öncülük yapmaktır.

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Abstract

Overconstrained manipulators in lower subspaces with unique motions can be created and analyzed. However, far too little attention has been paid to creating a generic method for overconstrained manipulators kinematic analysis. This study aimed to evaluate a generic methodology for kinematic analysis of overconstrained parallel manipulators with partial subspaces (OPM-PS) using decomposition to parallel manipulators (PMs) in lower subspaces. The theoretical dimensions of the method are depicted, and the use of partial subspace for overconstrained manipulators is portrayed. The methodology for the decomposition method is described and exemplified by designing and evaluating the method to two overconstrained manipulators with 5 degrees of freedom (DoF) and 3 DoF. The inverse kinematic analysis is detailed with position analysis and Jacobian along with the inverse velocity analysis. The workspace analysis for the manipulators using the methodology is elaborated with numerical results. The results of the study show that OPM-PS can be decomposed into PMs with lower subspace numbers. As imaginary joints are being utilized in the proposed methodology, it will create additional data to consider in the design process of the manipulators. Thus, it becomes more beneficial in design scenarios that include workspace as an objective.

Description

Selvi, Ozgun/0000-0003-4937-1489

Keywords

Overconstrained, Decomposition Method, Parallel Manipulator

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Citation

Selvi, Özgün (2021). "Kinematic analysis of overconstrained manipulators with partial subspaces using decomposition method", Robotica.

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Q3

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Q2

Source

Volume

40

Issue

6

Start Page

1783

End Page

1798