A robust optimization methodology for preliminary aircraft design. Issue 5 (3rd May 2016)

• Record Type: Journal Article
• Authors: Prigent, S.; Maréchal, P.; Rondepierre, A.; Druot, T.; Belleville, M.
• Is Part Of: Engineering optimization. Volume 48:Issue 5(2016)
• Page Start: 883
• Page End: 899
• Publication Date: 2016-05-03
• Subjects: robust linear programming -- optimization under uncertainty -- application to aircraft design; Engineering design -- Periodicals; Mathematical optimization -- Periodicals; 620.0042
• DOI: 10.1080/0305215X.2015.1062985
• Languages: English
• ISSNs: 0305-215X

Abstract

Abstract : This article focuses on a robust optimization of an aircraft preliminary design under operational constraints. According to engineers' know-how, the aircraft preliminary design problem can be modelled as an uncertain optimization problem whose objective (the cost or the fuel consumption) is almost affine, and whose constraints are convex. It is shown that this uncertain optimization problem can be approximated in a conservative manner by an uncertain linear optimization program, which enables the use of the techniques of robust linear programming of Ben-Tal, El Ghaoui, and Nemirovski [ Robust Optimization, Princeton University Press, 2009]. This methodology is then applied to two real cases of aircraft design and numerical results are presented.