Exploring a model predictive control law to design four-dimensional trajectories for interval management

Xiaoli Bai, Lesley A. Weitz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Interval Management (IM) is a future air traffic concept that requires avionics that provide speed guidance to an aircraft to achieve and maintain a relative spacing interval from another aircraft. IM algorithms developed previously were designed to calculate speed guidance relative to a nominal speed profile, and the aircraft were assumed to manage their altitude based on a pre-planned vertical profile. In this paper, we explore using a Model Predictive Control (MPC) law to design complete trajectories to achieve the relative spacing interval at a downstream point. The trajectory optimization problem is framed as a Nonlinear Programming (NLP) problem and an approach to solve it in real time is described. Preliminary results for the trajectory optimization are presented.

Original languageEnglish (US)
Title of host publicationAIAA Information Systems-AIAA Infotech at Aerospace, 2017
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624104497
DOIs
StatePublished - 2017
EventAIAA Information Systems-Infotech At Aerospace Conference, 2017 - Grapevine, United States
Duration: Jan 9 2017Jan 13 2017

Publication series

NameAIAA Information Systems-AIAA Infotech at Aerospace, 2017

Other

OtherAIAA Information Systems-Infotech At Aerospace Conference, 2017
Country/TerritoryUnited States
CityGrapevine
Period1/9/171/13/17

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Industrial and Manufacturing Engineering

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