Problem
Research questions and friction points this paper is trying to address.
control allocation
tilting UAV
actuator saturation
trajectory tracking
dynamic control
Dynamic Control Allocation for Dual-Tilt UAV Platforms
🤖 AI Summary
This study addresses the dynamic control allocation challenge in dual-tilt hexacopter unmanned aerial vehicles arising from actuator saturation and redundancy during trajectory tracking. The authors propose a hierarchical control architecture wherein a high-level controller computes the desired total force and torque, while a low-level allocator dynamically coordinates the states of the tilting propellers by solving a constrained optimization problem that explicitly incorporates first-order actuator dynamics and saturation limits. A key innovation lies in the introduction of an asymmetric objective function within the allocation scheme, which reveals the regulatory role of tilt angles in system performance. Simulation results demonstrate that the proposed method significantly improves trajectory tracking accuracy while effectively exploiting system redundancy to optimize actuator configurations.
📝 Abstract
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.
Innovation
Methods, ideas, or system contributions that make the work stand out.
dynamic control allocation
dual-tilt UAV
actuator saturation
hierarchical control
propeller tilt optimization
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