Airspeed Forward-Invariance for Unpowered Fixed-Wing Aircraft
- URL: http://arxiv.org/abs/2604.22860v1
- Date: Wed, 22 Apr 2026 21:43:07 GMT
- Title: Airspeed Forward-Invariance for Unpowered Fixed-Wing Aircraft
- Abstract summary: This paper presents a viability-based airspeed protection for ground-referenced guidance in steady wind.<n>We derive a closed-form, wind-dependent characterization of admissible guidance commands that guarantees forward invariance of a safe airspeed envelope.<n>The approach is validated using a high-fidelity unpowered fixed-wing aircraft model on gliding trajectories.
- Score: 5.173672380708639
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Autonomous fixed-wing flight is becoming a key capability in aerial robotics, enabling sensing, mobility, and contingency operations across both small-scale Uncrewed Aircraft Systems and large-scale Advanced Air Mobility. During unpowered operation in fixed-wing platforms, airspeed is regulated solely through potential-kinetic energy exchange, making airspeed dynamics highly sensitive to guidance commands, particularly under wind. This paper presents a viability-based airspeed protection for ground-referenced guidance in steady wind, where airspeed evolution depends explicitly on the commanded flight path angle. Leveraging Nagumo's tangency condition, we derive a closed-form, wind-dependent characterization of admissible guidance commands that guarantees forward invariance of a safe airspeed envelope. These conditions are embedded within an offline quadratic programming framework to certify airspeed-safe maneuver primitives for non-ascending flight at the guidance level. The approach is validated using a high-fidelity unpowered fixed-wing aircraft model on gliding trajectories formed by concatenating certified maneuver primitives, demonstrating strict airspeed boundedness. Future work will address unsteady wind fields and flight experiments.
Related papers
- Wind-Informed Rapid Flight-Planning in Complex Urban Topologies via Machine Learning and Experimental Validation [46.65676221937358]
This work proposes a novel framework towards safe flight planning of aerial vehicles in windy urban environments.<n>A learning-based surrogate model is trained to rapidly predict flow fields from readily available information.<n>A safe, flow-informed flight trajectory is then identified through a cost-minimizing pathfinder.
arXiv Detail & Related papers (2026-08-10T23:30:49Z) - Configuration-Induced Passive Self-Rotation for Perception-Enhanced Autonomous Flight [18.319430777252474]
This letter presents a configuration-induced passively self-rotating tricopter for perception-enhanced autonomous flight.<n>The rear-arm configuration parameter is exploited to regulate the passive self-rotation operating point.<n>A hierarchical autonomy framework integrating planning and control is developed to enable agile and robust autonomous flight.
arXiv Detail & Related papers (2026-07-20T07:58:06Z) - ASCENT: Transformer-Based Aircraft Trajectory Prediction in Non-Towered Terminal Airspace [54.94692733670454]
ASCENT is a lightweight transformer-based model for multi-modal 3D aircraft trajectory forecasting.<n>It integrates domain-aware 3D coordinate normalization and parameterized predictions.
arXiv Detail & Related papers (2026-03-17T14:16:10Z) - WESPR: Wind-adaptive Energy-Efficient Safe Perception & Planning for Robust Flight with Quadrotors [9.15147164003286]
We present WESPR, a fast framework that predicts how environmental geometry affects local wind conditions.<n>Our results show a 12.5-58.7% reduction in maximum trajectory deviation and a 24.6% improvement in stability compared to a wind-agnostic adaptive controller.
arXiv Detail & Related papers (2026-03-10T05:09:43Z) - A 26-Gram Butterfly-Inspired Robot Achieving Autonomous Tailless Flight [61.21669716392821]
textitAirPulse is a 26-gram butterfly-inspired robot that achieves the first onboard, closed-loop controlled flight for a tailless two-winged platform at this scale.<n>It replicates key biomechanical traits of butterfly flight, utilizing low-aspect-ratio, compliant carbon-fiber-reinforced wings and low-frequency flapping that reproduces characteristic biological body undulations.
arXiv Detail & Related papers (2026-02-06T15:58:50Z) - Disturbance-Aware Flight Control of Robotic Gliding Blimp via Moving Mass Actuation [5.073162687197271]
Robotic blimps, as lighter-than-air (LTA) aerial systems, offer long endurance and inherently safe operation but remain highly susceptible to wind disturbances.<n>This paper addresses the lack of disturbance-aware control frameworks for LTA platforms by explicitly modeling and compensating for wind-induced effects.<n>A moving horizon estimator (MHE) infers real-time wind perturbations and provides these estimates to a model predictive controller (MPC), enabling robust trajectory and heading regulation under varying wind conditions.
arXiv Detail & Related papers (2026-01-29T02:36:26Z) - Grasping Extreme Aerodynamics on a Low-Dimensional Manifold [0.0]
We show that the fundamental physics behind extreme aerodynamics is far simpler and lower-rank than traditionally expected.
We reveal that the nonlinear vortical flow field over time and parameter space can be compressed to only three variables with a lift-augmented autoencoder.
The present findings offer support for the stable flight of next-generation small air vehicles in atmosphere conditions traditionally considered unflyable.
arXiv Detail & Related papers (2023-05-13T23:40:21Z) - Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds [96.74836678572582]
We present a learning-based approach that allows rapid online adaptation by incorporating pretrained representations through deep learning.
Neural-Fly achieves precise flight control with substantially smaller tracking error than state-of-the-art nonlinear and adaptive controllers.
arXiv Detail & Related papers (2022-05-13T21:55:28Z) - Wireless-Enabled Asynchronous Federated Fourier Neural Network for
Turbulence Prediction in Urban Air Mobility (UAM) [101.80862265018033]
Urban air mobility (UAM) has been proposed in which vertical takeoff and landing (VTOL) aircraft are used to provide a ride-hailing service.
In UAM, aircraft can operate in designated air spaces known as corridors, that link the aerodromes.
A reliable communication network between GBSs and aircraft enables UAM to adequately utilize the airspace.
arXiv Detail & Related papers (2021-12-26T14:41:52Z) - Learning High-Speed Flight in the Wild [101.33104268902208]
We propose an end-to-end approach that can autonomously fly quadrotors through complex natural and man-made environments at high speeds.
The key principle is to directly map noisy sensory observations to collision-free trajectories in a receding-horizon fashion.
By simulating realistic sensor noise, our approach achieves zero-shot transfer from simulation to challenging real-world environments.
arXiv Detail & Related papers (2021-10-11T09:43:11Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.