Advanced Aircraft Aerodynamics, Flight Stability, Stabilization and Control of Flying Vehicles

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Machine Design and Theory".

Deadline for manuscript submissions: 30 June 2025 | Viewed by 458

Special Issue Editor


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Guest Editor
Laboratory LMEE, University of Evry Paris Saclay, CEDEX, 91020 Evry, France
Interests: dynamics of structures; materials; design of light aircraft; aerodynamics; design and modeling of autonomous flying vehicles

Special Issue Information

Dear Colleagues,

The advent of fifth- and sixth-generation fighter aircrafts, the rapid evolution of drones and airships over the past decade, and the expansion of their applications have created a pressing need to advance related theories. These developments encompass various domains, including aerodynamics (theoretical, numerical, and experimental), control theory, flight stability, stabilization, and trajectory generation for these flying vehicles. The Special Issue "Advanced Aircraft Aerodynamics, Flight Stability, Stabilization and Control of Flying Vehicles" in the journal Machines is precisely dedicated to these advancements.

Dr. Naoufel Azouz
Guest Editor

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Keywords

  • advanced aircraft aerodynamics
  • stabilization
  • flight stability
  • trajectory generation of flying vehicles

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Published Papers (1 paper)

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Research

21 pages, 8219 KiB  
Article
Boids-Based Integration Algorithm for Formation Control and Obstacle Avoidance in Unmanned Aerial Vehicles
by Jing Lu, Jiayi Zhao and Junda Niu
Machines 2025, 13(4), 255; https://doi.org/10.3390/machines13040255 - 21 Mar 2025
Viewed by 260
Abstract
Unmanned Aerial Vehicles (UAVs), as widely used tools, can achieve better efficiency when integrated into a multi-UAV system than individual, dispersed units. Obstacle avoidance and formation control are fundamental requirements for such systems. The Boids algorithm, a biomimetic model suitable for swarming, serves [...] Read more.
Unmanned Aerial Vehicles (UAVs), as widely used tools, can achieve better efficiency when integrated into a multi-UAV system than individual, dispersed units. Obstacle avoidance and formation control are fundamental requirements for such systems. The Boids algorithm, a biomimetic model suitable for swarming, serves as the foundation for this study. This paper proposes a novel integrated algorithm based on Boids that can be applied to multi-UAV systems for obstacle avoidance and formation control. The algorithm enables the multi-UAV system to automatically form formations, autonomously avoid obstacles, and recover formations rapidly. In this algorithm, each UAV functions as an agent within the system that is capable of independently collecting and sharing information. Each agent can make independent decisions to enter either the formation mode or the obstacle avoidance mode based on external environmental factors. The formation mode utilizes the virtual structure method to guide UAVs to their virtual formation positions. In the obstacle avoidance mode, the artificial potential field method is employed to ensure that each UAV maintains a safe distance from other UAVs that pose collision risks and various complex obstacles, regardless of their number. Simulation experiments were conducted on the Unity platform, varying the number of UAVs and the formation shapes. The results verified that the algorithm operates correctly, stably, and in a timely manner, demonstrating good performance. Full article
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