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 contributionpeer-review


    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
    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


    Other5th International Conference on Computational Fluid Dynamics, ICCFD 2008
    Country/TerritoryKorea, Republic of


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