liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Multidisciplinary Optimization of Unmanned Aircraft Considering Radar Signature, Sensors, and Trajectory Constraints
Linköping University, Department of Management and Engineering, Machine Design. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-8013-9787
Linköping University, Department of Management and Engineering, Machine Design. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Management and Engineering, Machine Design. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Management and Engineering, Machine Design. Linköping University, Faculty of Science & Engineering.
2018 (English)In: Journal of Aircraft, ISSN 0021-8669, E-ISSN 1533-3868, Vol. 55, no 4, p. 1629-1640Article in journal (Refereed) Published
Abstract [en]

This paper presents a multidisciplinary design optimization framework applied to the development of unmanned aerial vehicles with a focus on radar signature and sensor performance requirements while simultaneously considering the flight trajectory. The primary emphasis herein is on the integration and development of analysis models for the calculation of the radar cross section and sensor detection probability, whereas traditional aeronautical disciplines such as aerodynamics and mission simulation are also taken into account in order to ensure a flyable concept. Furthermore, this work explores the effect of implementing trajectory constraints as a supplementary input to the multidisciplinary design optimization process and presents a method that enables the optimization of the aircraft under a three-dimensional flight scenario. To cope with the additional computational cost of the high-fidelity radar cross section and sensor calculations, the use of metamodels is also investigated and an efficient development methodology that can provide high-accuracy approximations for this particular problem is proposed. Overall, the operation and performance of the framework are evaluated against five surveillance scenarios, and the obtained results show that the implementation of trajectory constraints in the optimization has the potential to yield better designs by 12–25% when compared to the more “traditional” problem formulations.

Place, publisher, year, edition, pages
American Institute of Aeronautics and Astronautics, 2018. Vol. 55, no 4, p. 1629-1640
Keywords [en]
UAV, MDO, RCS, Trajectory, Sensors
National Category
Aerospace Engineering
Identifiers
URN: urn:nbn:se:liu:diva-150980DOI: 10.2514/1.C034314ISI: 000449304100025Scopus ID: 2-s2.0-85050865062OAI: oai:DiVA.org:liu-150980DiVA, id: diva2:1246366
Funder
VINNOVA, 2013-03758
Note

Funding agencies: Innovative Multidisciplinary Product Optimization (IMPOz) project of Swedens innovation agency VINNOVA [2013-03758]

Available from: 2018-09-07 Created: 2018-09-07 Last updated: 2018-11-22Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records BETA

Papageorgiou, AthanasiosTarkian, MehdiAmadori, KristianAndersson (Ölvander), Johan

Search in DiVA

By author/editor
Papageorgiou, AthanasiosTarkian, MehdiAmadori, KristianAndersson (Ölvander), Johan
By organisation
Machine DesignFaculty of Science & Engineering
In the same journal
Journal of Aircraft
Aerospace Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 66 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf