Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/105347
Title: | Cooperative moving path following for multiple fixed-wing unmanned aerial vehicles with speed constraints | Authors: | Wang, Yuanzhe Wang, Danwei Zhu, Senqiang |
Keywords: | Cooperative Control DRNTU::Engineering::Electrical and electronic engineering Path Following |
Issue Date: | 2019 | Source: | Wang, Y., Wang, D., & Zhu, S. (2019). Cooperative moving path following for multiple fixed-wing unmanned aerial vehicles with speed constraints. Automatica, 10082-89. doi:10.1016/j.automatica.2018.11.004 | Journal: | Automatica | Abstract: | This paper is to address a cooperative moving path following (CMPF) problem, in which a fleet of fixedwing unmanned aerial vehicles (UAVs) are required to converge to and follow a desired geometric moving path while satisfying prespecified speed and spatial constraints. A representative application of the CMPF problem is the challenging mission scenario where a group of UAVs are tasked to track a moving ground target. The proposed methodology is based on the insight that a vehicle can follow a given path only through attitude control, thus leaving its speed as an extra input to be used at the coordination level. To deal with moving path following (MPF) of a single UAV, a non-singular control law is derived to steer the vehicle along the desired moving path which avoids the singularity problem in the previous MPF strategy. For multi-UAV coordination, a pursuit strategy is employed with the introduction of a virtual leader. To account for speed constraints and collision avoidance, conditions are derived under which the combined MPF and multi-UAV coordination closed-loop system is asymptotically stable while speed and spatial constraints are satisfied. Further simulation has been performed to demonstrate the effectiveness of the proposed method. | URI: | https://hdl.handle.net/10356/105347 http://hdl.handle.net/10220/48847 |
ISSN: | 0005-1098 | DOI: | 209906 10.1016/j.automatica.2018.11.004 209906 |
Schools: | School of Electrical and Electronic Engineering | Rights: | © 2019 Elsevier. All rights reserved. This paper was published in Automatica and is made available with permission of Elsevier. | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | EEE Journal Articles |
Files in This Item:
File | Description | Size | Format | |
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Manuscript.pdf | 712.74 kB | Adobe PDF | ![]() View/Open |
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