Real-Time Four-Dimensional Trajectory Generation Based on Gain-Scheduling Control and a High-Fidelity Aircraft Model
| Autor: | Lohithaksha M. Maiyar, Abrar Al-Hindi, Mahdi Mahfouf, Michal Weiszer, Jun Chen, Olusayo Obajemu |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Optimization
Decision support system Four-dimensional trajectory Environmental Engineering General Computer Science Computer science Materials Science (miscellaneous) General Chemical Engineering Real-time computing Energy Engineering and Power Technology ComputerApplications_COMPUTERSINOTHERSYSTEMS 02 engineering and technology Intelligent taxiing 010402 general chemistry 01 natural sciences law.invention law Aircraft model General Engineering Engineering (General). Civil engineering (General) 021001 nanoscience & nanotechnology Reactive planning 0104 chemical sciences Gain scheduling Autopilot Key (cryptography) Fuel efficiency Trajectory TA1-2040 Routing (electronic design automation) 0210 nano-technology |
| Zdroj: | Engineering, Vol 7, Iss 4, Pp 495-506 (2021) |
| ISSN: | 2095-8099 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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