ROMar 9, 2020

Geometry-aware Compensation Scheme for Morphing Drones

arXiv:2003.03929v221 citations
AI Analysis

This addresses a specific problem for drone researchers and engineers by providing a novel control method for morphing drones, though it is incremental as it builds on existing morphing drone work.

The paper tackles the problem of aerodynamic effects from propeller overlap with the main body in morphing quadrotors, which were previously ignored, by designing a geometry-aware compensation scheme that improves flight precision, as demonstrated through experiments on a Foldable Drone showing effectiveness when activated.

Morphing multirotors, such as the Foldable Drone , can increase the versatility of drones employing in-flight-adaptive-morphology. To further increase precision in their tasks, recent works have investigated stable flight in asymmetric morphologies mainly leveraging the low-level controller. However, the aerodynamic effects embedded in multirotors are only analyzed in fixed shape aerial vehicles and are completely ignored in morphing drones. In this paper, we investigate the effects of the partial overlap between the propellers and the main body of a morphing quadrotor. We perform experiments to characterize such effects and design a morphology-aware control scheme to account for them. To guarantee the right trade-off between efficiency and compactness of the vehicle, we propose a simple geometry-aware compensation scheme based on the results of these experiments. We demonstrate the effectiveness of our approach by deploying the compensation scheme on the Foldable Drone, a quadrotor that can fold its arms around the main body. The same set of experiments are performed and compared against one another by activating and deactivating the compensation scheme offline or during the flight. To the best of our knowledge, this is the first work counteracting the aerodynamic effects of a morphing quadrotor during flight and showing the effects of partial overlap between a propeller and the central body of the drone.

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