Dynamic programming applications to flight trajectory optimization

Akinori Harada, Yoshikazu Miyazawa

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

3 Citations (Scopus)

Abstract

Rapid increase of computational capability with high performance processors and parallel processing and continual cost-down of hardware make overlooked numerical methods revive for their own favorable nature. Dynamic Programming is one of the cases in the trajectory optimization. This paper pursues possibility of Dynamic Programming as a numerical method for flight trajectory optimization of aerospace vehicles. It examines two application examples of winged space vehicle's reentry flight and fuel efficient flight of a jet passenger aircraft to demonstrate advantages of Dynamic Programming. It also discusses how to overcome disadvantages of Dynamic Programming, such as a large amount of computational time and quantization errors.

Original languageEnglish
Title of host publication19th IFAC Symposium on Automatic Control in Aerospace, ACA 2013 - Proceedings
PublisherIFAC Secretariat
Pages441-446
Number of pages6
EditionPART 1
ISBN (Print)9783902823465
DOIs
Publication statusPublished - 2013
Event19th IFAC Symposium on Automatic Control in Aerospace, ACA 2013 - Wurzburg, Germany
Duration: Sep 2 2013Sep 6 2013

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
NumberPART 1
Volume19
ISSN (Print)1474-6670

Conference

Conference19th IFAC Symposium on Automatic Control in Aerospace, ACA 2013
CountryGermany
CityWurzburg
Period9/2/139/6/13

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

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  • Cite this

    Harada, A., & Miyazawa, Y. (2013). Dynamic programming applications to flight trajectory optimization. In 19th IFAC Symposium on Automatic Control in Aerospace, ACA 2013 - Proceedings (PART 1 ed., pp. 441-446). (IFAC Proceedings Volumes (IFAC-PapersOnline); Vol. 19, No. PART 1). IFAC Secretariat. https://doi.org/10.3182/20130902-5-de-2040.00145