QUT ePrints

Uncertainty based MDO of UAS using HAPMOEA

Lee, Leonard Slade, Srivanas, K., Gonzalez, Luis F., & Periaux, Jacques (2009) Uncertainty based MDO of UAS using HAPMOEA. In Choi, H., Choi, H.G., & Yoo, J.Y. (Eds.) Computational Fluid Dynamics 2008 : Proceedings of the 5th International Conference on Computational Fluid Dynamics, Springer Berlin / Heidelberg, Seoul, pp. 649-654.

View at publisher

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 uncertain 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.

Impact and interest:

0 citations in Scopus
Search Google Scholar™

Citation countsare sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

75 since deposited on 12 Jul 2010
7 in the past twelve months

Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 33056
Item Type: Conference Paper
Keywords: Uncertainity, Optimization, Robust Design, Evolutionary Algorithms, Unmanned Aerial Systems
DOI: 10.1007/978-3-642-01273-0
ISBN: 9783642012723
Subjects: Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > NUMERICAL AND COMPUTATIONAL MATHEMATICS (010300) > Optimisation (010303)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AEROSPACE ENGINEERING (090100) > Aircraft Performance and Flight Control Systems (090104)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AEROSPACE ENGINEERING (090100) > Flight Dynamics (090106)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Engineering Systems
Copyright Owner: Springer Berlin / Heidelberg 2009
Copyright Statement: This is the author-version of the work. Conference proceedings published, by Springer Verlag, will be available via SpringerLink. http://www.springerlink.com
Deposited On: 12 Jul 2010 10:40
Last Modified: 14 Oct 2011 09:51

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page