Storm-ATS

Managing Storm Uncertainties for a Safe and Efficient Air Transport System

Convocatoria 2021 «Proyectos de Generación de Conocimiento»

Abstract

The overall objective of STORM-ATS is to develop a novel approach to storm-avoidance aircraft trajectory optimization that combines optimal control techniques with imitation learning. The hypothesis it that the ideal manoeuvres to avoid the cells of a storm can be learned from demonstrations which, in this context, are storm-avoidance trajectories predicted by analyzing real storm-avoidance trajectories, rather than determined using pure aircraft trajectory optimization techniques.

Both storm-avoidance aircraft trajectory prediction and optimization will be conducted based on the storm evolution predicted using artificial intelligence techniques. The problem will be solved in the 3D space, i.e., the optimized storm-avoidance trajectories will have three spatial components plus time.