Real-Time Four-Dimensional Trajectory Generation Based on Gain-Scheduling Control and a High-Fidelity Aircraft Model

Aircraft ground movement plays a key role in improving airport efficiency, as it acts link to all other operations. Finding novel approaches coordinate the movements of fleet aircraft at an order improve system resilience disruptions with increasing autonomy is center many studies for airside Moreover, autonomous taxiing envisioned component future digitalized airports. However, state-of-the-art routing and scheduling algorithms do not consider high-fidelity models both proactive reactive planning phases. The majority such actively seek optimize fuel efficiency reduce harmful greenhouse gas emissions. This paper proposes new approach generating efficient four-dimensional trajectories (4DTs) on basis model gain-scheduling control strategy. Working conjunction algorithm that determines taxi route, waypoints, time deadlines, proposed generates fuel-efficient 4DTs real time, while respecting operational constraints. can be used two contexts: ① decision support tool generate resolve unprecedented events; ② autopilot partial fully taxiing. methodology realistic simple implement. simulation show capable providing up 11% reduction consumed during large Boeing 747-100 jumbo jet.