Analysis of parasitic motion with the constraint emb e dde d Jacobian for a 3-PRS parallel manipulator
- Authors
- Nigatu, Hassen; Choi, Yun Ho; Kim, Doik
- Issue Date
- 2021-10
- Publisher
- PERGAMON-ELSEVIER SCIENCE LTD
- Citation
- MECHANISM AND MACHINE THEORY, v.164
- Abstract
- This study derives the equation of parasitic motion of 3-DoFs parallel manipulator from the velocity-level analytic-constraint equation and compares it with a well-known position level geometric method. The velocity-level constraint is formulated based on the extended Jacobian, derived from the instantaneous motion space (IMS) and the instantaneous restriction space (IRS) for free motion and constraint. In contrast, the position-level constraint, adopted in previous studies, is geometrically obtained by analyzing the moving platform and limb motions. The velocity-level analytic-constraint matrix is used to further analyze the task-space motion. In this paper, the procedure of detecting and identifying the parasitic terms from the independent terms is introduced utilizing the property that comes from the virtue of analytic constraint and inverse rate kinematics algorithm. Then, an equation for the constraint-compatible task motion and a coupling relation between the parasitic and independent motions are derived during further analysis. The paper derived the parasitic motion from position constraint, and an algebraic equivalency with the velocity constraint is shown by taking the time derivative of a point-plane position level constraint for comparison. Finally, numerical simulations are provided to validate the proposed approach and demonstrate the effect of the constraints on the given input velocity within the entire rotational workspace. (c) 2021 Elsevier Ltd. All rights reserved.
- Keywords
- KINEMATIC ANALYSIS; RECIPROCAL SCREWS; Parallel manipulator; Kinematics; Constraint; IMS; IRS; Parasitic motion
- ISSN
- 0094-114X
- URI
- https://pubs.kist.re.kr/handle/201004/116355
- DOI
- 10.1016/j.mechmachtheory.2021.104409
- Appears in Collections:
- KIST Article > 2021
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