Cooperative Control, Decision-Making, and Optimization of Unmanned Aerial Vehicles

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

Deadline for manuscript submissions: closed (31 October 2023) | Viewed by 1469

Special Issue Editors

School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, China
Interests: cooperative control; autonomous decision-making; optimization theory; UAV swarm

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Guest Editor
Temasek Laboratories, National University of Singapore, Singapore
Interests: fault diagnosis and fault-tolerant control; adaptive control; collision avoidance and control of multi-UAVs
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Special Issue Information

Dear Colleagues,

In the last three decades, unmanned aerial vehicles (UAVs) have been applied in many fields, such as reconnaissance, patrolling, and the transportation of loads. The ability to coordinate multiple UAVs in a swarm environment more attraactive than using a single UAV. UAV swarms require cooperative control, decision-making, and optimization technology. This is a hot topic in academia and industry at present, and it is critical to ensure the safety of UAVs and improve the mission success rate. This Special Issue aims to collect papers on the state of the art and future trends in UAV techniques, enabling reliable cooperative control and effective decision making. Papers are solicited on all areas directly related to these topics, including, but not limited to, the following:

  • Cooperative control;
  • Self-organizing control and optimization of UAV swarm;
  • UAV autonomous decision-making;
  • UAVs maneuver decision-making;
  • Autonomous obstacle avoidance for UAVs;
  • Cooperative detection for UAV swarms;
  • Cooperative search for UAVs;
  • UAV cooperative navigation;
  • Intelligent decision making and motion planning;
  • Path planning and task assignment for UAV swarms;
  • UAV coverage path planning;
  • UAV swarm intelligent perception and cognition;
  • Autonomous navigation and positioning;
  • Simulation and experiment verification for UAV swarms.

Dr. Xiaowei Fu
Prof. Dr. Sunan Huang
Guest Editors

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Published Papers (1 paper)

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Research

16 pages, 4255 KiB  
Article
Quadrotor Robust Fractional-Order Sliding Mode Control in Unmanned Aerial Vehicles for Eliminating External Disturbances
by Mujahed Al-Dhaifallah, Fahad M. Al-Qahtani, Sami Elferik and Abdul-Wahid A. Saif
Aerospace 2023, 10(8), 665; https://doi.org/10.3390/aerospace10080665 - 26 Jul 2023
Cited by 5 | Viewed by 1077
Abstract
Quadrotors, commonly known as drones or unmanned aerial vehicles (UAVs), play an important role in load transportation. The complex vehicles used for transporting loads and surveillance purposes can be replaced through the ease of use and mechanical simplicity of the quadrotors. This study [...] Read more.
Quadrotors, commonly known as drones or unmanned aerial vehicles (UAVs), play an important role in load transportation. The complex vehicles used for transporting loads and surveillance purposes can be replaced through the ease of use and mechanical simplicity of the quadrotors. This study aims to introduce a new way of controlling the slung load system of the quadrotor after applying the fractional-order sliding mode control (FOSMC) method for performance enhancement. This method in the presence of external disturbances is likely to help stabilize and track the quadrotor with minimized swinging of the attached load. The results of this study prove the robustness of FOSMC through analysis, outcomes, and graphical representations that show the effect with various angles for a clear and conceptual understanding. The present study contributes to the literature by designing a robust FOSMC for a quadrotor with the help of external disturbances. The results of this study could be applied to the development of the design of upcoming drones which can increase the efficiency as well as the accuracy of load transportation. Further applications in the fields of rescue, agriculture, construction, research, and advancement of the fraction calculus-based control method are recommended using the FOSMC method. Full article
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