Formation Flight of Fixed-Wing Aircraft

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

Deadline for manuscript submissions: 30 May 2026 | Viewed by 2884

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Department of Aerospace Science and Technology, Politecnico di Milano, via La Masa 34, 20156 Milano, Italy
Interests: aircraft design; electric aircraft; hybrid-electric aircraft; optimal design; aircraft modeling and simulation; airship design; wind turbine control
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Special Issue Information

Dear Colleagues,

Over the last few years, the massive diffusion of unmanned aerial vehicles (UAV) has fostered research in the areas of control and path planning, especially with the application of this technology to multi-rotor platforms; coordinated flight for swarms of multi-copters has also been investigated. Despite this, formation flight in association with fixed-wing aircraft has received less attention.

However, for aeronautical engineers, it is a well-known fact that a fixed-wing configuration can starkly extend range and endurance compared to a multi-rotor configuration carrying a comparable weight. This advantage on flight performance can be further exploited through formation flight, thus retaining the mild requirements in terms of runway length, lower-weight machine complexity and suitably designed fixed-wing drones, all while increasing the overall mission payload.

Of course, in a complex scenario, where the swarm needs to face obstacles, disturbances and threats, an understanding of the best flight trajectory, the ideal intra-swarm control logic, etc., require a dedicated attention and research effort, which has started increasing only recently.

The present Special Issue is dedicated to the broad and open topic of fixed-wing swarms, with at least four major focal points:

  • Dynamics and simulation of the swarm;
  • Mission planning, path planning and guidance;
  • Intra-formation logics, including in terminal maneuvers (take-off, landing), collision/threat avoidance maneuvers, as well as flying rendezvous and split-up procedures;
  • Swarm operations, including application scenarios, airspace integration issues, mission profitability studies, and possibly including results of practical testing.

Quality contributions in these and related fields are welcome in order to gather a significant body of knowledge in this growing field.

Prof. Dr. Carlo E. D. Riboldi
Guest Editor

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Keywords

  • formation flight
  • fixed-wing UAV
  • swarm
  • drones
  • unmanned aerial vehicle
  • guidance
  • obstacle avoidance
  • obstacle detection
  • dynamics
  • trajectory computation
  • path planning
  • simulation
  • experimental
  • testing
  • campaign
  • fixed-wing aircraft
  • multi-UAV
  • multi-aircraft
  • cooperative
  • coordination
  • flocking
  • multi-agent
  • distributed sensor
  • observer
  • formation flight mission
  • mission planning
  • performance
  • collective conscience
  • cellular
  • leader-follower
  • leader
  • wingman
  • formation optimization

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Published Papers (2 papers)

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27 pages, 2936 KB  
Article
Dynamic Event-Triggered Multi-Aircraft Collision Avoidance: A Reference Correction Method Based on APF-CBF
by Yadong Tang, Jiong Li, Jikun Ye, Xiangwei Bu and Changxin Luo
Aerospace 2025, 12(9), 803; https://doi.org/10.3390/aerospace12090803 - 5 Sep 2025
Viewed by 395
Abstract
To address the key issues in cooperative collision avoidance of multiple aircraft, such as unknown dynamics, external disturbances, and limited communication resources, this paper proposes a reference correction method based on the Artificial Potential Field-Control Barrier Function (APF-CBF) and combines it with a [...] Read more.
To address the key issues in cooperative collision avoidance of multiple aircraft, such as unknown dynamics, external disturbances, and limited communication resources, this paper proposes a reference correction method based on the Artificial Potential Field-Control Barrier Function (APF-CBF) and combines it with a dynamic event-triggered mechanism to achieve efficient cooperative control. This paper adopts a Fuzzy Wavelet Neural Network (FWNN) to design a finite-time disturbance observer. By leveraging the advantages of FWNN, which integrates fuzzy logic reasoning and the time-frequency locality of wavelet basis functions, this observer can synchronously estimate system states and unknown disturbances, to ensure the finite-time uniformly ultimate boundedness of errors and break through the limitation of insufficient robustness in traditional observers. Meanwhile, the APF is embedded in the CBF framework. On the one hand, APF is utilized to intuitively describe spatial interaction relationships, thereby reducing reliance on prior knowledge of obstacles; on the other hand, CBF is used to strictly construct safety constraints to overcome the local minimum problem existing in APF. Additionally, the reference correction mechanism is combined to optimize trajectory tracking performance. In addition, this paper introduces a dynamic event-triggered mechanism, which adjusts the triggering threshold by real-time adaptation to error trends and mission phases, realizing “communication on demand”. This mechanism can reduce communication resource consumption by 49.8% to 69.8% while avoiding Zeno behavior. Theoretical analysis and simulation experiments show that the proposed method can ensure the uniformly ultimate boundedness of system states and effectively achieve safe collision avoidance and efficient formation tracking of multiple aircraft. Full article
(This article belongs to the Special Issue Formation Flight of Fixed-Wing Aircraft)
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49 pages, 9722 KB  
Article
Formation Flight of Fixed-Wing UAVs: Dynamic Modeling, Guidance Design, and Testing in Realistic Scenarios
by Carlo E.D. Riboldi and Marco Tomasoni
Aerospace 2025, 12(3), 260; https://doi.org/10.3390/aerospace12030260 - 19 Mar 2025
Viewed by 1814
Abstract
Autonomous unmanned flight based on fixed-wing aircraft constitutes a practical and economical solution for transport missions to remote destinations or disadvantaged communities, for which their payload and range represent interesting figures of merit. In such contexts, the use of UAV swarms presents an [...] Read more.
Autonomous unmanned flight based on fixed-wing aircraft constitutes a practical and economical solution for transport missions to remote destinations or disadvantaged communities, for which their payload and range represent interesting figures of merit. In such contexts, the use of UAV swarms presents an attractive approach to leveraging payload capabilities. Additionally, within the military domain, deploying swarms of smaller aircraft could enhance logistic modularity, reducing the risk of losing the entire mission cargo or supply of weaponry when traversing hostile territories. The literature on swarms of fixed-wing aircraft is mostly related to control design aspects, often demonstrated via simplistic modeling in virtual environment, or to performance analyses carried out on experimental setups, which typically try to cope with the complexity of real-time management, integration within a multi-agent scenario, and the tactical issues arising when facing an actual flight. This paper fits in the gap between these approaches. It introduces an accurate 6-DOF flight dynamics model of a fixed-wing UAV, which was employed for the synthesis and testing of the stabilization and guidance laws for a swarm within a high-fidelity simulation environment. Furthermore, in the same environment, a scheme for intra-swarm coordination was designed and demonstrated, accounting for optimal aerodynamic performance. The performance of coupled swarm guidance and formation control algorithms was analyzed and tested in the case of realistic missions, also demonstrating the ability of the proposed overall control scheme to operate in the presence of disturbances. Full article
(This article belongs to the Special Issue Formation Flight of Fixed-Wing Aircraft)
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