Recent Advances on Cooperative Navigation and Control Methods for Multiple Unmanned Aerial Vehicles

A special issue of Aerospace (ISSN 2226-4310). This special issue belongs to the section "Aeronautics".

Deadline for manuscript submissions: 30 April 2024 | Viewed by 1141

Special Issue Editors


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Guest Editor
School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu 610054, China
Interests: filtering theory; inertial navigation system; navigation; global navigation satellite system; sensor fusion; cooperative navigation for UAVs

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Guest Editor
School of Automation, Central South University, Changsha 410083, China
Interests: distributed control and optimization problem; dynamic scheduling

Special Issue Information

Dear Colleagues,

Unmanned aerial vehicles (UAVs) have been extensively applied in numerous military and civilian applications, e.g., reconnaissance, monitoring, exploration, inspection, and rescue. As their most critical component, navigation and control systems are of great significance for ensuring flight safety. Compared with a single UAV, multiple UAVs have the merits of higher efficiency and reliability based on vehicle-to-vehicle communication via information sharing. In view of the developments of UAV cooperative and control technologies in past decades, there is an urgent need to develop advanced cooperative navigation and control techniques to meet the demands of complex and tasks in challenging environments. This Special Issue aims to bring together researchers and practitioners to explore the latest developments in navigation and control methods and to present a collection of papers that address the challenges and opportunities in these fields. We invite submissions from academia and industry on theoretical and practical aspects related to cooperative navigation and control theories and applications for unmanned aerial vehicles. We also welcome articles on other topics related to aerospace systems, such as space perception, trajectory planning, and attitude estimation themes. Topics of interest include but are not limited to:

  • Cooperative navigation and positioning;
  • Consensus and distributed optimization problems;
  • Containment and distributed formation problems;
  • Multi-sensor fusion for unmanned aerial systems;
  • Trajectory planning for cooperative tasks.

Dr. Zebo Zhou
Prof. Dr. Peng Lin
Guest Editors

Manuscript Submission Information

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Published Papers (1 paper)

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Research

22 pages, 4510 KiB  
Article
A Novel Sea Target Tracking Algorithm for Multiple Unmanned Aerial Vehicles Considering Attitude Error in Low-Precision Geodetic Coordinate Environments
by Qiuyang Dai, Faxing Lu and Junfei Xu
Aerospace 2024, 11(2), 162; https://doi.org/10.3390/aerospace11020162 - 16 Feb 2024
Viewed by 843
Abstract
Geodetic coordinate information and attitude information of the observation platform are necessary for multi-UAV position alignment and target tracking. In a complex sea environment, the navigation equipment of a UAV is susceptible to interference. High-precision geodetic coordinate information and attitude information are difficult [...] Read more.
Geodetic coordinate information and attitude information of the observation platform are necessary for multi-UAV position alignment and target tracking. In a complex sea environment, the navigation equipment of a UAV is susceptible to interference. High-precision geodetic coordinate information and attitude information are difficult to obtain. Aiming to solve the above problems, a low-precision geodetic coordinate real-time systematic spatial registration algorithm based on multi-UAV observation and an improved robust fusion tracking algorithm of multi-UAV to sea targets considering attitude error are proposed. The spatial registration algorithm obtains the observation information of the same target based on the mutual observation information. Then, geodetic coordinate systematic error is accurately estimated by establishing the systematic error estimation measurement equation. The improved robust fusion tracking algorithm considers the influence of UAV attitude error in the observation. The simulation experiment and practical experiment show that the algorithm can not only estimate systematic error accurately but also improve tracking accuracy. Full article
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