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Control of aircraft in the terminal manoeuvring area using parallelised sequential Monte Carlo


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Article

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Authors

Eele, A 
Chau, T 
Luk, W 

Abstract

This paper reports on the use of a parallelised Model Predictive Control, Sequential Monte Carlo algorithm for solving the problem of conflict resolution and aircraft trajectory control in air traffic management specifically around the terminal manoeuvring area of an airport. The target problem is nonlinear, highly constrained, non-convex and uses a single decision-maker with multiple aircraft. The implementation includes a spatio-temporal wind model and rolling window simulations for realistic ongoing scenarios. The method is capable of handling arriving and departing aircraft simultaneously including some with very low fuel remaining. A novel flow field is proposed to smooth the approach trajectories for arriving aircraft and all trajectories are planned in three dimensions. Massive parallelisation of the algorithm allows solution speeds to approach those required for real-time use.

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Keywords

Air Traffic Management, Sequential Monte Carlo, Parallelisation, Terminal Manouevring Area, Stochastic Optimisation

Journal Title

AIAA Guidance, Navigation, and Control (GNC) Conference

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Publisher

American Institute of Aeronautics and Astronautics (AIAA)
Sponsorship
This work was supported by EPSRC (Engineering and Physical Sciences Research Council - UK) Grant No. EP/G066477/1