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Direction-only Orientation Alignment of Leader-Follower Networks

Authors :
Van Tran, Quoc
Ahn, Hyo-Sung
Kim, Jinwhan
Publication Year :
2022

Abstract

When a team of agents, such as unmanned aerial/underwater vehicles, are operating in $3$-dimensional space, their coordinated action in pursuit of a cooperative task generally requires all agents to either share a common coordinate system or know the orientations of their coordinate axes with regard to the global coordinate frame. Given the coordinate axes that are initially unaligned, this work proposes an orientation alignment scheme for multiple agents with a type of leader-following graph typologies using only inter-agent directional vectors, and the direction measurements to one or more landmarks of the first two agents. The directional vectors are expressed in the agents' body-fixed coordinate frames and the proposed alignment protocol works exclusively with the directional vectors without the need of a global coordinate frame common to all agents or the construction of the agents' orientation matrices. Under the proposed alignment scheme, the orientations of the agents converge almost globally and asymptotically to the orientation of the leader agent. Finally, numerical simulations are also given to illustrate the effectiveness of the proposed method.<br />Comment: Preprint accepted by the 2022 American Control Conference

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2202.02224
Document Type :
Working Paper