Ad Hoc Distributed Model Predictive Control of Air Traffic Management

Fatemeh Asadi, Arthur G Richards

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

3 Citations (Scopus)
304 Downloads (Pure)

Abstract

This paper develops an ad hoc distributed control algorithm for air traffic management. The method is based on model predictive control, 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-optimize simultaneously, thus ensuring collision avoidance. Unlike existing distributed predictive control, which requires a pre-organized optimizing sequence, this new approach requires no central coordinator.
Original languageEnglish
Title of host publication16th IFAC Workshop on Control Applications of Optimization CAO’2015
Subtitle of host publicationGarmisch-Partenkirchen, Germany, 6–9 October 2015
PublisherAmsterdam:Elsevier
Pages68-73
Number of pages6
DOIs
Publication statusPublished - Dec 2015
Event16th IFAC workshop on control applications of optimization (CAO) - Garmisch-Partenkirchen, Germany
Duration: 6 Oct 20159 Oct 2015

Publication series

NameIFAC Papers Online
PublisherElsevier
Number25
Volume48
ISSN (Print)1474-6670

Conference

Conference16th IFAC workshop on control applications of optimization (CAO)
CountryGermany
CityGarmisch-Partenkirchen
Period6/10/159/10/15

Keywords

  • Ad Hoc Distributed Model Predictive Control
  • Air Traffic Management
  • Trajectory Design
  • Space-TDMA and Self-Organized TDMA

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