Dynamic programming applications to flight trajectory optimization

Akinori Harada, Yoshikazu Miyazawa

Research output: Contribution to journalConference article

2 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
Pages (from-to)441-446
Number of pages6
JournalIFAC Proceedings Volumes (IFAC-PapersOnline)
Volume19
Issue numberPART 1
Publication statusPublished - Jan 1 2013
Event19th IFAC Symposium on Automatic Control in Aerospace, ACA 2013 - Wurzburg, Germany
Duration: Sep 2 2013Sep 6 2013

Fingerprint

Dynamic programming
Trajectories
Numerical methods
Aerospace vehicles
Reentry
Aircraft
Hardware
Processing
Costs

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

Cite this

Dynamic programming applications to flight trajectory optimization. / Harada, Akinori; Miyazawa, Yoshikazu.

In: IFAC Proceedings Volumes (IFAC-PapersOnline), Vol. 19, No. PART 1, 01.01.2013, p. 441-446.

Research output: Contribution to journalConference article

Harada, Akinori ; Miyazawa, Yoshikazu. / Dynamic programming applications to flight trajectory optimization. In: IFAC Proceedings Volumes (IFAC-PapersOnline). 2013 ; Vol. 19, No. PART 1. pp. 441-446.
@article{fe2cdf9ab2cc472dad5dcbbca587ac2b,
title = "Dynamic programming applications to flight trajectory optimization",
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.",
author = "Akinori Harada and Yoshikazu Miyazawa",
year = "2013",
month = "1",
day = "1",
language = "English",
volume = "19",
pages = "441--446",
journal = "IFAC-PapersOnLine",
issn = "2405-8963",
publisher = "IFAC Secretariat",
number = "PART 1",

}

TY - JOUR

T1 - Dynamic programming applications to flight trajectory optimization

AU - Harada, Akinori

AU - Miyazawa, Yoshikazu

PY - 2013/1/1

Y1 - 2013/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84899673671&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84899673671&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:84899673671

VL - 19

SP - 441

EP - 446

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

SN - 2405-8963

IS - PART 1

ER -