A self-adaptive alignment strategy for large components based on dynamic compliance center
ISSN: 0144-5154
Article publication date: 3 June 2019
Issue publication date: 3 June 2019
Abstract
Purpose
Aiming at the problems of geometric precision misalignment and unconsidered physical constraints between large components during the measurement-assisted assembly, a self-adaptive alignment strategy based on the dynamic compliance center (DCC) is proposed in this paper, using force information to guide alignment compliantly.
Design/methodology/approach
First, the self-adaptive alignment process of large components is described, and its geometrical and mechanical characteristics are analyzed based on six-dimensional force/torque (F/T). The setting method of DCC is studied and the areas of DCC are given. Second, the self-adaptive alignment platform of large components driven by the measured six-dimensional F/T is constructed. Based on this platform, the key supporting technologies, including principle of self-adaptive alignment, coordinate transfer, calculation of six-dimensional F/T and alignment process control, are illustrated.
Findings
Using the presented strategy, the position and orientation of large component is adjusted adaptively responding to measured six-dimensional F/T and the changes of contact states are consistent with the strategy. Through the setting of DCC, alignment process runs smoothly without jamming.
Practical implications
This strategy is applied to the alignment experiment of large components muff coupling. The experimental results show that the proposed alignment strategy is correct and effective and meets the real-time requirement.
Originality/value
This paper proposed a novel way to apply force information in large component self-adaptive alignment, and the setting method of DCC was presented to make the alignment process more feasible.
Keywords
Citation
Du, F., Wen, K. and Yu, H. (2019), "A self-adaptive alignment strategy for large components based on dynamic compliance center", Assembly Automation, Vol. 39 No. 2, pp. 345-355. https://doi.org/10.1108/AA-04-2018-057
Publisher
:Emerald Publishing Limited
Copyright © 2019, Emerald Publishing Limited