Uncertainty based MDO of UAS using HAPMOEA

D. S. Lee, K. Srinivas, L. F. Gonzalez, J. Periaux

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

Abstract

CFD has been successfully used in the optimisation of aerodynamic surfaces using a given set of parameters such as Mach numbers and angle of attack. While carrying out a multidisciplinary design optimisation one deals with situations where the parameters have some uncertainty attached. Any optimisation carried out for fixed values of input parameters gives a design which may be totally unacceptable under off-design conditions. The challenge is to develop a robust design procedure which takes into account the fluctuations in the input parameters. In this work, we attempt this using a modified Taguchi approach. This is incorporated into an evolutionary algorithm with many features developed in house. The method is tested for an UCAV design which simultaneously handles aerodynamics, electromagnetics and maneuverability. Results demonstrate that the method has considerable potential.

Original languageEnglish
Title of host publicationComputational Fluid Dynamics 2008
Place of PublicationBerlin; New York
PublisherSpringer, Springer Nature
Pages649-654
Number of pages6
ISBN (Electronic)9783642012730
ISBN (Print)9783642012723
Publication statusPublished - 2009
Event5th International Conference on Computational Fluid Dynamics, ICCFD 2008 - Seoul, Korea, Republic of
Duration: 7 Jul 200811 Jul 2008

Other

Other5th International Conference on Computational Fluid Dynamics, ICCFD 2008
CountryKorea, Republic of
CitySeoul
Period7/07/0811/07/08

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  • Cite this

    Lee, D. S., Srinivas, K., Gonzalez, L. F., & Periaux, J. (2009). Uncertainty based MDO of UAS using HAPMOEA. In Computational Fluid Dynamics 2008 (pp. 649-654). Berlin; New York: Springer, Springer Nature.