Dynamic Control Allocation for Dual-Tilt UAV Platforms

Fuente: arXiv
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Autori principali: Sorge, Marcello, Ciresola, Federico, Michieletto, Giulia, Cenedese, Angelo
Natura: Preprint
Pubblicazione: 2026
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author Sorge, Marcello
Ciresola, Federico
Michieletto, Giulia
Cenedese, Angelo
author_facet Sorge, Marcello
Ciresola, Federico
Michieletto, Giulia
Cenedese, Angelo
contents This paper focuses on dynamic control allocation for a hexarotor UAV platform, considering a trajectory tracking task as as case study. It is assumed that the platform is dual-tilting, meaning that it is able to tilt each propeller independently during flight, along two orthogonal axis. We present a hierarchical control structure composed of a high-level controller generating the required wrench for the tracking task, and a control allocation law ensuring that the actuators produce such wrench. The allocator imposes desired first-order dynamics on the actuators set, and exploits system redundancy to optimize the actuators state with respect to a given objective function. Unlike other studies on the subject, we explicitly model actuator saturation and provide theoretical insights on its effect on control performances. We also investigate the role of propeller tilt angles, by imposing asymmetric shapes in the objective function. Numerical simulations are presented to validate the allocation strategy.
format Preprint
id arxiv_https___arxiv_org_abs_2604_05677
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Dynamic Control Allocation for Dual-Tilt UAV Platforms
Sorge, Marcello
Ciresola, Federico
Michieletto, Giulia
Cenedese, Angelo
Robotics
This paper focuses on dynamic control allocation for a hexarotor UAV platform, considering a trajectory tracking task as as case study. It is assumed that the platform is dual-tilting, meaning that it is able to tilt each propeller independently during flight, along two orthogonal axis. We present a hierarchical control structure composed of a high-level controller generating the required wrench for the tracking task, and a control allocation law ensuring that the actuators produce such wrench. The allocator imposes desired first-order dynamics on the actuators set, and exploits system redundancy to optimize the actuators state with respect to a given objective function. Unlike other studies on the subject, we explicitly model actuator saturation and provide theoretical insights on its effect on control performances. We also investigate the role of propeller tilt angles, by imposing asymmetric shapes in the objective function. Numerical simulations are presented to validate the allocation strategy.
title Dynamic Control Allocation for Dual-Tilt UAV Platforms
topic Robotics
url https://arxiv.org/abs/2604.05677