Aerodynamic/RCS shape optimisation of unmanned aerial vehicles using hierarchical asynchronous parallel evolutionary algorithms

D. S. Lee*, L. F. Gonzalez, K. Srinivas, D. J. Auld, K. C. Wong

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

    32 Citations (Scopus)

    Abstract

    One of the challenges in Unmanned (Combat) Aerial Vehicles (UCAV) is the improvement of wing aerodynamic performance to increase endurance and lower fuel consumption. In addition, the stealth function is one of the essential requirements to complete diverse missions. Recent advances in design tools, materials, electronics and actuators have opened the door for implementation of transonic flow control technologies to improve aerodynamic efficiency. This paper explores the application of a robust Evolutionary Algorithm (EA) for aerofoil sections and wing planform design and optimisation for the improvement of aerodynamic performance and the reduction of Radar Cross Section (RCS). The method is based on a canonical evolution strategy and incorporates the concepts of hierarchical topology, parallel computing and asynchronous evaluation. Results obtained from the optimisation show that utilising the designing transonic wing aerofoil sections and planform in combination with Evolutionary techniques improve the aerodynamic efficiency and this produced a set of shock-free aerofoils and achieved the supercritical aero-diamond wings. Results also indicate that the method is efficient and produces optimal and non-dominated solutions.

    Original languageEnglish
    Title of host publication24th AIAA Applied Aerodynamics Conference, Fluid Dynamics and Co-located Conferences
    Place of PublicationReston, VA
    PublisherAmerican Institute of Aeronautics and Astronautics
    Pages1358-1378
    Number of pages21
    Volume2
    ISBN (Print)1563478129, 9781563478123
    DOIs
    Publication statusPublished - 2006
    Event24th AIAA Applied Aerodynamics Conference - San Francisco, CA, United States
    Duration: 5 Jun 20068 Jun 2006

    Other

    Other24th AIAA Applied Aerodynamics Conference
    Country/TerritoryUnited States
    CitySan Francisco, CA
    Period5/06/068/06/06

    Fingerprint

    Dive into the research topics of 'Aerodynamic/RCS shape optimisation of unmanned aerial vehicles using hierarchical asynchronous parallel evolutionary algorithms'. Together they form a unique fingerprint.

    Cite this