Self-Organized Model Predictive Control for Air Traffic Management

Fatemah Asadi, Arthur G Richards

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

2 Citations (Scopus)
361 Downloads (Pure)

Abstract

In this paper a distributed model predictive control has been proposed for air traffic management problem in which aircraft use optimization to determine their own flight trajectories. The coordination approach of Self-organized Time Division Multiple Access is used to ensure no two aircraft re-plan their trajectories simultaneously. Unlike existing distributed predictive control, which needs a pre-organized optimizing sequence, this new approach requires no central coordination. By also terminating every trajectory with a loitering circle, recursive feasibility and constraint satisfaction, especially separation, can be guaranteed.
Original languageEnglish
Title of host publicationProceedings of the 5th International Conference on Application and Theory of Automation in Command and Control Systems (ATACCS '15)
Subtitle of host publicationToulouse, France - September 30-October 02, 2015
Place of PublicationNew York, NY, USA
PublisherAssociation for Computing Machinery (ACM)
Pages151-159
Number of pages9
ISBN (Print)9781450335621
DOIs
Publication statusPublished - 30 Sep 2015
Event5th International Conference on Application and Theory of Automation in Command and Control Systems (ATACCS), - Toulouse, France
Duration: 30 Sep 20152 Oct 2015

Conference

Conference5th International Conference on Application and Theory of Automation in Command and Control Systems (ATACCS),
CountryFrance
CityToulouse
Period30/09/152/10/15

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