Aerobatic Trajectory Generation for a VTOL Fixed-Wing Aircraft Using Differential Flatness
July 07, 2022 Β· Declared Dead Β· π IEEE Transactions on robotics
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Authors
Ezra Tal, Gilhyun Ryou, Sertac Karaman
arXiv ID
2207.03524
Category
cs.RO: Robotics
Cross-listed
eess.SY
Citations
49
Venue
IEEE Transactions on robotics
Last Checked
5 months ago
Abstract
This paper proposes a novel algorithm for aerobatic trajectory generation for a vertical take-off and landing (VTOL) tailsitter flying wing aircraft. The algorithm differs from existing approaches for fixed-wing trajectory generation, as it considers a realistic six-degree-of-freedom (6DOF) flight dynamics model, including aerodynamics equations. Using a global dynamics model enables the generation of aerobatics trajectories that exploit the entire flight envelope, enabling agile maneuvering through the stall regime, sideways uncoordinated flight, inverted flight etc. The method uses the differential flatness property of the global tailsitter flying wing dynamics, which is derived in this work. By performing snap minimization in the differentially flat output space, a computationally efficient algorithm, suitable for online motion planning, is obtained. The algorithm is demonstrated in extensive flight experiments encompassing six aerobatics maneuvers, a time-optimal drone racing trajectory, and an airshow-like aerobatic sequence for three tailsitter aircraft.
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