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

作　　者：Olusayo Obajemu Mahdi Mahfouf Lohithaksha M.Maiyar Abrar Al-Hzndi Michal Weiszer Jun Chen 

机构地区：[1]Department of Automatic Control and Systems Engineering,The University of Sheffield,Sheffield S14DW,UK [2]Business and Management Research Institute,University of Bedfordshire,Luton LU13JU,UK [3]School of Engineering and Materials Science,Queen Mary University of London,London E14NS,UK

出　　处：《Engineering》2021年第4期495-506,共12页工程（英文）

基　　金：This work was funded by the UK Engineering and Physical Sciences Research Council(EP/N029496/1,EP/N029496/2,EP/N029356/1,EP/N029577/1,and EP/N029577/2).

摘　　要：Aircraft ground movement plays a key role in improving airport efficiency,as it acts as a link to all other ground operations.Finding 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 operations.Moreover,autonomous taxiing is envisioned as a key component in future digitalized airports.However,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 phases.The majority of such algorithms do not actively seek to optimize fuel efficiency and reduce harmful greenhouse gas emissions.This paper proposes a new approach for generating efficient four-dimensional trajectories(4DTs)on the basis of a high-fidelity aircraft model and gainscheduling control strategy.Working 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 constraints.The 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 taxiing.The proposed methodology is realistic and simple to implement.Moreover,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 

分 类 号：V249.1[航空宇航科学与技术—飞行器设计]