Uncertainty based MDO of UAS using HAPMOEA
Contribuinte(s) |
Choi, H. Choi, H.G. Yoo, J.Y. |
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Data(s) |
2009
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Resumo |
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. |
Formato |
application/pdf |
Identificador | |
Publicador |
Springer Berlin / Heidelberg |
Relação |
http://eprints.qut.edu.au/33056/1/c33056.pdf DOI:10.1007/978-3-642-01273-0_86 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. |
Direitos |
Springer Berlin / Heidelberg 2009 This is the author-version of the work. Conference proceedings published, by Springer Verlag, will be available via SpringerLink. http://www.springerlink.com |
Fonte |
Faculty of Built Environment and Engineering; School of Engineering Systems |
Palavras-Chave | #010303 Optimisation #090104 Aircraft Performance and Flight Control Systems #090106 Flight Dynamics #Uncertainity #Optimization #Robust Design #Evolutionary Algorithms #Unmanned Aerial Systems |
Tipo |
Conference Paper |