Trajectory optimization for fully actuated hexacopters: Enhancing maneuverability and applications

Several factors need to be taken into account when generating a feasible optimized trajectory. The optimization process heavily relies on the dynamic model of the system. Currently, there are various drone designs available, categorized based on their actuation status. In this study, we apply a trajectory optimization technique to a fully actuated hexacopter (FA-Hex), which is a new application to the best of our knowledge. This type of vehicle has been successfully integrated into several practical applications. Unlike the under-actuated hexacopter (UA-Hex), the FA-Hex can perform maneuvers with minimal banking angles, significantly enhancing the drone’s maneuverability. Our research focuses specifically on trajectory optimization for the FA-Hex and demonstrates the adaptability of our method to different scenarios. We discuss two specific applications: a drone filming without a gimbal joint and a drone with a cable-suspended pendulum. We compare the simulation results with the UA-Hex model to highlight the differences in maneuverability between the two systems. The trajectory optimization is performed offline using CasADi in the MATLAB framework.

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Publication Details

Journal
International Journal of Micro Air Vehicles
Published
2025-05-15
DOI
https://doi.org/10.1177/17568293251332313
Citations
1
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
1.28
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article

Trajectory optimization for fully actuated hexacopters: Enhancing maneuverability and applications

Thierry Miquel, Murat Bronz, Clément Roos, Mohamad Hachem
1 citations
International Journal of Micro Air Vehicles
Robotic Path Planning Algorithms
1.28
article

Trajectory optimization for fully actuated hexacopters: Enhancing maneuverability and applications

Thierry Miquel, Murat Bronz, Clément Roos, Mohamad Hachem
article en
1 citations

Abstract

Several factors need to be taken into account when generating a feasible optimized trajectory. The optimization process heavily relies on the dynamic model of the system. Currently, there are various drone designs available, categorized based on their actuation status. In this study, we apply a trajectory optimization technique to a fully actuated hexacopter (FA-Hex), which is a new application to the best of our knowledge. This type of vehicle has been successfully integrated into several practical applications. Unlike the under-actuated hexacopter (UA-Hex), the FA-Hex can perform maneuvers with minimal banking angles, significantly enhancing the drone’s maneuverability. Our research focuses specifically on trajectory optimization for the FA-Hex and demonstrates the adaptability of our method to different scenarios. We discuss two specific applications: a drone filming without a gimbal joint and a drone with a cable-suspended pendulum. We compare the simulation results with the UA-Hex model to highlight the differences in maneuverability between the two systems. The trajectory optimization is performed offline using CasADi in the MATLAB framework.

International Journal of Micro Air VehiclesVol. 17
École Nationale de l’Aviation Civile (FR), Université Fédérale de Toulouse Midi-Pyrénées (FR), Office National d'Études et de Recherches Aérospatiales (FR)
Openalex Percentile: Top 24%
Robotic Path Planning Algorithms
1.28
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Trajectory optimization for fully actuated hexacopters: Enhancing maneuverability and applications — Thierry Miquel, Murat Bronz, et al. · International Journal of Micro Air Vehicles (2025) | TGRS Research Map | TGRS