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Nonlinear model predictive control for optimal aircraft sequencing

  • Technical University of Munich

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

A real-time, bi-level feedback control algorithm for assigning arrival times is presented, which are optimal with regard to the cumulated fuel consumption of inbound aircraft. The bi-level structure implements the solution of optimal control problems for each individual aircraft to determine the minimum fuel consumption for the assigned arrival time. Additional constraints are included in the upper level to assure safe time separations at the merge point. After obtaining the solution of the original problem at the initial time point, the bi-level problem is approximated by a blended quadratic program. This program provides a prediction and correction of the optimal arrival times for the next time point and the respective change in initial states of all aircraft. Furthermore, exact solutions for the lower level optimal control problems are calculated for the updated arrival times. The algorithm is successfully validated for a example of nine aircraft and a frequency of six updates per minute for the arrival time assignment.

Original languageEnglish
Title of host publication31st Congress of the International Council of the Aeronautical Sciences, ICAS 2018
PublisherInternational Council of the Aeronautical Sciences
ISBN (Electronic)9783932182884
StatePublished - 2018
Event31st Congress of the International Council of the Aeronautical Sciences, ICAS 2018 - Belo Horizonte, Brazil
Duration: 9 Sep 201814 Sep 2018

Publication series

Name31st Congress of the International Council of the Aeronautical Sciences, ICAS 2018

Conference

Conference31st Congress of the International Council of the Aeronautical Sciences, ICAS 2018
Country/TerritoryBrazil
CityBelo Horizonte
Period9/09/1814/09/18

Keywords

  • Aircraft Sequencing
  • Arrival Management
  • Nonlinear Model Predictive Control
  • Optimal Control
  • Trajectory Optimization

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