← 研踪 PaperTrailarXiv:2611.10650 · v1
Trajectory Inversion for a Rudderless Dual Vectored-Thrust Flying Wing
首次提交 2026-11-07 18:49
版本更新 2026-11-07 18:49
雷达观测 2026-11-10 11:14
摘要
A rudderless dual vectored-thrust flying wing combines vertical takeoff and landing with efficient for- ward flight in a compact tailless configuration. Without aerodynamic control surfaces, vectored thrust couples translation and pitch control. Therefore, generating dy- namically compatible trajectories remains an open chal- lenge. To address this challenge, this study proposes a trajectory generation method that jointly optimizes path geometry and timing. Trajectory inversion yields state and control histories that satisfy the coupled equations of motion. The optimization balances curvature-induced acceleration against aerodynamic support, lowering thrust- vectoring demand while retaining the defining maneuver features. Representative looping and rolling sequences are tracked in closed-loop simulations. These results provide a basis for planning autonomous aerobatic maneuvers with rudderless vectored-thrust aircraft.
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v1 · 2026-11-07 18:49 · 最新观测版本
Trajectory Inversion for a Rudderless Dual Vectored-Thrust Flying Wing
A rudderless dual vectored-thrust flying wing combines vertical takeoff and landing with efficient for- ward flight in a compact tailless configuration. Without aerodynamic control surfaces, vectored thrust couples translation and pitch control. Therefore, generating dy- namically compatible trajectories remains an open chal- lenge. To address this challenge, this study proposes a trajectory generation method that jointly optimizes path geometry and timing. Trajectory inversion yields state and control histories that satisfy the coupled equations of motion. The optimization balances curvature-induced acceleration against aerodynamic support, lowering thrust- vectoring demand while retaining the defining maneuver features. Representative looping and rolling sequences are tracked in closed-loop simulations. These results provide a basis for planning autonomous aerobatic maneuvers with rudderless vectored-thrust aircraft.
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