Project description
Simulation and artificial intelligence to optimise flight management systems
An aircraft’s flight management system (FMS) automates many different in-flight tasks. Its performance as well as its ability to adjust to several situations are key to flight safety and environmental mitigation. The EU-funded FIVER project aims to optimise flight paths and fuel consumption while maintaining high safety standards. The project will collect reference trajectories and deliver scripts that simulate pilot actions in order to generate many computed trajectories. To acquire the most appropriate trajectory panel, it will determine the most suitable times during flight and proper positions along flight procedures to introduce the crew’s ideal and unforeseen or inadequate actions. Algorithms will be defined for thresholds in determining design or FMS computation issues.
Objective
This proposal combines the skills of CGX AERO in procedure design, cartography and aeronautical software development with the expertise of SCALIAN EUROGICIEL in big data and data mining techniques to set up an innovative platform for a new philosophy of FMS trajectories validation.
The consortium proposes to address first a larger scale of trajectories testing by gathering reference trajectories, directly issued from procedure designers and validated by the customers as well as providing scripts emulating pilot actions (virtual crew module), resulting in the generation of a large number of computed trajectories. CGX AERO's expertise in procedure design will allow finding out the right moments during the flight and the right places along the flight procedures where to insert the perfect and unexpected/imperfect actions from the crew, to obtain the most relevant panel of trajectories.
To address the comparison between a FMS computed trajectory and a theoretical trajectory, a set of algorithms based on procedure Ground Validation (data integrity, business rules verification, ARINC 424 coding rules, 4D simulation, obstacle assessment) and on-the-fly computation of PANS-OPS Protection Areas will be defined. This will ensure finding the correct threshold beyond which an outlier comes from a procedure design issue instead of a FMS computation issue.
SCALIAN EUROGICIEL's expertise in big data and data mining techniques will allow setting up a data warehouse, with data analytics tools in order to run and store the results of the millions of trajectory comparisons that will be performed.
Fields of science
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringaircraft
- natural sciencescomputer and information sciencesdata sciencedata mining
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringaeronautical engineering
- engineering and technologyenvironmental engineeringenergy and fuels
Programme(s)
Funding Scheme
CS2-IA - Innovation actionCoordinator
31670 LABEGE CEDEX
France