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Real-Time Four-Dimensional Trajectory Generation Based on Gain-Scheduling Control and a High-Fidelity Aircraft Model
Engineering ( IF 10.1 ) Pub Date : 2021-03-19 , DOI: 10.1016/j.eng.2021.01.009
Olusayo Obajemu , Mahdi Mahfouf , Lohithaksha M. Maiyar , Abrar Al-Hindi , Michal Weiszer , Jun Chen

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 gain-scheduling 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: ① as a reactive decision support tool to generate new trajectories that can resolve unprecedented events; and ② as 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.



中文翻译:

基于增益调度控制和高保真飞机模型的实时三维轨迹生成

飞机地面运动在提高机场效率方面起着关键作用,因为它是与所有其他地面行动的纽带。寻找新的方法来协调机场机队的运动,以提高系统对中断的适应能力,提高自主性,这是机场空侧运营的许多关键研究的中心。此外,自主滑行被设想为未来数字化机场的关键组成部分。然而,机场地面运动的最先进的路由和调度算法在主动和被动规划阶段都没有考虑高保真飞机模型。大多数此类算法并不积极寻求优化燃料效率和减少有害的温室气体排放。本文提出了一种在高保真飞机模型和增益调度控制策略的基础上生成有效四维轨迹(4DT)的新方法。与确定滑行路线,航路点和时间期限的路由和调度算法结合使用,所提出的方法可以实时生成省油的4DT,同时遵守操作限制。所提出的方法可用于两种情况:① 作为一种反应性决策支持工具,以生成可以解决前所未有的事件的新轨迹;② 作为部分和完全自主滑行的自动驾驶系统。所提出的方法是现实的并且易于实施。而且,

更新日期:2021-03-19
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