Enhanced Conflict Resolution Maneuvers for Dense Airspaces

Malaek, S.M.; Golchoubian, Mahsa

doi:10.1109/taes.2020.2972422

Cited by 6 publications

(2 citation statements)

References 24 publications

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“…As a rising evolutionary algorithm, the PSO algorithm has obvious advantages in solving problems whose objective functions are nonlinear and non-convex [34]. Distinct from other intelligent optimisation algorithms, the PSO algorithm aims to find the optimal solution through the cooperation of individuals.…”

Section: Optimal Distance Control Strategymentioning

confidence: 99%

Conflict Detection and Separation Configuration Method Based on Uncertain Flight Trajectory

Ren,

Tang,

Zhang

et al. 2024

PROMTT

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Aiming at two aircraft conflict scenario in the pre-tactical stage, by converting the uncertain flight trajectory of the target aircraft into a spatio-temporal trajectory under its performance constraints, a conflict detection model based on truncated normal distribution was proposed,and influencing factors affecting the overall conflict probability were analysed by numerical simulation. For the conflict scenario, nonlinear particle swarm optimisation (NPSO) algorithm was applied to solve the optimal separation configuration strategy for the ownship. The simulation results show that, in comparison to conventional PSO algorithm, the improved NPSO algorithm improves the optimal value by 14.88% and decreases the maximum velocity change by 19.84%. The simulation also shows that the algorithm can maintain the minimum interval requirements under different initial parameters, demonstrating its strong adaptability.

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Section: Optimal Distance Control Strategymentioning

confidence: 99%

Conflict Detection and Separation Configuration Method Based on Uncertain Flight Trajectory

Ren,

Tang,

Zhang

et al. 2024

PROMTT

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“…As UAVs are grouped into sub clusters based on the conflict relationships between each pair of UAVs, the conflict relationships of UAVs in one sub cluster should be comprehensively considered in case the conflict resolution maneuvers lead to serious secondary conflicts. 38 Supposing that n l UAVs involving in the local airspace conflict, the multi-UAV conflict resolution problem is formulated as below:…”

Section: Problem Formulationmentioning

confidence: 99%

Online cooperative airspace conflict resolution of unmanned aerial vehicles by space mapping based iterative search method

Zhao

Wang

Yang

et al. 2022

Advances in Mechanical Engineering

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This paper presents an investigation into the locally centralized conflict resolution problem of unmanned aerial vehicles (UAVs), in which the headings are adjustable variables. Firstly, the geometric characteristics of the conflict resolution problem in two-dimensional space are studied, and the problem is reduced into a nonlinear programing model. Secondly, the nonlinear safe separation constraint is transferred into linear style in the sine value space using the space mapping method. The feasible region of two conflict-related UAVs is transformed into a half-space in the sine value space. The minimum adjustment vector and the maximum adjustable vector are obtained in this space. Thirdly, to search for the local optimal conflict-free solution, a two-layered optimization method is given. In the first layer, feasible conflict-free solutions are obtained by iterative search in virtue of the minimum adjustment vector and the maximum adjustable vector. In the second layer, the local optimal solution is generated using the sequential quadratic programing (SQP) method. The effectiveness of the proposed method is verified by numerical simulations. Compared with the existing geometric guidance theory based methods, the proposed method could effectively generate conflict-free solutions that lead to fewer detours, through which UAVs could coordinate online in highly crowded airspace.

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Autonomous planning of optimal four-dimensional trajectory for real-time en-route airspace operation with solution space visualisation

Chen

Yang

2022

Transportation Research Part C: Emerging Technologies

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Enhanced Conflict Resolution Maneuvers for Dense Airspaces

Cited by 6 publications

References 24 publications

Conflict Detection and Separation Configuration Method Based on Uncertain Flight Trajectory

Conflict Detection and Separation Configuration Method Based on Uncertain Flight Trajectory

Online cooperative airspace conflict resolution of unmanned aerial vehicles by space mapping based iterative search method

Autonomous planning of optimal four-dimensional trajectory for real-time en-route airspace operation with solution space visualisation

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