Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/170438
Title: Maneuvering angle rigid formations with global convergence guarantees
Authors: Chen, Liangming
Lin, Zhiyun
De Marina, Hector Garcia
Sun, Zhiyong
Feroskhan, Mir
Keywords: Engineering::Mechanical engineering
Issue Date: 2022
Source: Chen, L., Lin, Z., De Marina, H. G., Sun, Z. & Feroskhan, M. (2022). Maneuvering angle rigid formations with global convergence guarantees. IEEE/CAA Journal of Automatica Sinica, 9(8), 1464-1475. https://dx.doi.org/10.1109/JAS.2022.105749
Journal: IEEE/CAA Journal of Automatica Sinica 
Abstract: Angle rigid multi-agent formations can simultaneously undergo translational, rotational, and scaling maneuvering, therefore combining the maneuvering capabilities of both distance and bearing rigid formations. However, maneuvering angle rigid formations in 2D or 3D with global convergence guarantees is shown to be a challenging problem in the existing literature even when relative position measurements are available. Motivated by angle-induced linear equations in 2D triangles and 3D tetrahedra, this paper aims to solve this challenging problem in both 2D and 3D under a leader-follower framework. For the 2D case where the leaders have constant velocities, by using local relative position and velocity measurements, a formation maneuvering law is designed for the followers governed by double-integrator dynamics. When the leaders have time-varying velocities, a sliding mode formation maneuvering law is proposed by using the same measurements. For the 3D case, to establish an angle-induced linear equation for each tetrahedron, we assume that all the followers' coordinate frames share a common Z direction. Then, a formation maneuvering law is proposed for the followers to globally maneuver Z-weakly angle rigid formations in 3D. The extension to Lagrangian agent dynamics and the construction of the desired rigid formations by using the minimum number of angle constraints are also discussed. Simulation examples are provided to validate the effectiveness of the proposed algorithms.
URI: https://hdl.handle.net/10356/170438
ISSN: 2329-9266
DOI: 10.1109/JAS.2022.105749
Schools: School of Mechanical and Aerospace Engineering 
Rights: © 2022 Chinese Association of Automation. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:MAE Journal Articles

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