Dynamic multiresolution route optimization for autonomous aircraft

Tariq Samad, Dimitry Gorinevsky, Freek Stoffelen

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

9 Scopus citations

Abstract

We describe an approach for dynamic route optimization for autonomous high-performance aircraft. A multiresolution representation scheme is presented that uses B-spline basis functions of different support and at different locations along the trajectory, parametrized by a dimensionless parameter. A multirate receding horizon problem is formulated as an example of online multiresolution optimization under feedback. The underlying optimization problem is solved with an anytime evolutionary computing algorithm. By selecting particular basis function coefficients as the optimization variables, computing resources can flexibly be devoted to those regions of the trajectory requiring most attention. A simulation scenario is presented.

Original languageEnglish (US)
Title of host publicationIEEE International Symposium on Intelligent Control - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages13-18
Number of pages6
StatePublished - Jan 1 2001
EventProceedings of the 2001 IEEE International Symposium on Intelligent Control ISIC '01 - Mexico City, Mexico
Duration: Sep 5 2001Sep 7 2001

Other

OtherProceedings of the 2001 IEEE International Symposium on Intelligent Control ISIC '01
CountryMexico
CityMexico City
Period9/5/019/7/01

Keywords

  • Autonomy
  • Model predictive control
  • Multiscale
  • Route optimization
  • UAVs
  • Wavelets

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