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Real-Time four-dimensional trajectory Generation Based on Gain-Scheduling Control and a High-Fidelity Aircraft Model

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Engineering 2021年第4期7卷 495-506页

作者： Olusayo Obajemu Mahdi Mahfouf Lohithaksha M.Maiyar Abrar Al-Hzndi Michal Weiszer Jun Chen Department of Automatic Control and Systems Engineering The University of SheffieldSheffield S14DWUK Business and Management Research Institute University of BedfordshireLuton LU13JUUK School of Engineering and Materials Science Queen Mary University of LondonLondon E14NSUK

Aircraft ground movement plays a key role in improving airport efficiency,as it acts as a link to all other ground *** novel approaches to coordinate the movements of a fleet of aircraft at an airport in order to improve system resilience to disruptions with increasing autonomy is at the center of many key studies for airport airside ***,autonomous taxiing is envisioned as a key component in future digitalized ***,state-of-the-art routing and scheduling algorithms for airport ground movements do not consider high-fidelity aircraft models at both the proactive and reactive planning *** majority of such algorithms do not actively seek to optimize fuel efficiency and reduce harmful greenhouse gas *** paper proposes a new approach for generating efficient four-dimensional trajectories(4DTs)on the basis of a high-fidelity aircraft model and gainscheduling control *** in conjunction with a routing and scheduling algorithm that determines the taxi route,waypoints,and time deadlines,the proposed approach generates fuel-efficient 4DTs in real time,while respecting operational *** proposed approach can be used in two contexts:①as a reactive decision support tool to generate new trajectories that can resolve unprecedented events;and②as an autopilot system for both partial and fully autonomous *** proposed methodology is realistic and simple to ***,simulation studies show that the proposed approach is capable of providing an up to 11%reduction in the fuel consumed during the taxiing of a large Boeing 747-100 jumbo jet.

关键词： Aircraft model Intelligent taxiing Optimization four-dimensional trajectory

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A 4-D trajectory Prediction Model Based on Radar Data

A 4-D Trajectory Prediction Model Based on Radar Data

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第二十七届中国控制会议

作者： Wu Kun,Pan Wei Computer Science Department of Sichuan University,Chengdu 610065,P.R.China

trajectory prediction is the core support tool of collaborative decision making in air traffic *** paper presents a four-dimensional trajectory prediction model,which is based on history and real-time radar *** a flight’s departure,its trajectory is worked out by analyzing its history flying *** its departure,the predicted trajectory is being updated with the real-time radar *** model does not rely on aerodynamics and can predict trajectory for the whole flying *** result shows that the prediction of this model approximates actual flying data and can provide better support to Air Traffic Control systems.

关键词： four-dimensional trajectory Air Traffic Control Collaborative Decision Making

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