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Multi-objective optimization of rotary-wing aircrafts at the predesign stage

Published online by Cambridge University Press:  06 June 2014

Florian Rigaud ,
Miguel Charlotte ,
Christelle Kerdreux  and
Pierre Marechal
Florian Rigaud*
Affiliation:
Universitéde Toulouse, Institut Clément Ader, Institut Supérieur de l’Aéronautique et de l’espace, France Eurocopter, 13725 Marignane, France
Miguel Charlotte
Affiliation:
Universitéde Toulouse, Institut Clément Ader, Institut Supérieur de l’Aéronautique et de l’espace, France
Christelle Kerdreux
Affiliation:
Eurocopter, 13725 Marignane, France
Pierre Marechal
Affiliation:
Université de Toulouse, Institut Supérieur de l’Aéronautique et de l’espace, France
*
a Corresponding author: florian.rigaud@outlook.com
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Abstract

Subsystems of rotary-wing aircrafts, such as helicopters for instance, are strongly interrelated due to their intrinsic specificities. Convergence to a feasible design is then not ensured and implies an iterative process. Moreover, rotorcrafts must cover a much wider range of missions than their fixed-wing counterparts. For those reasons a correctly sized rotorcraft is difficult to obtain and finding the best design for a defined set of missions needs numerous iterations. This article presents the application of a multi-objective optimization approach from the predesign stage. The standard predesign approach has been reformulated to highlight sizing constraints and three strategies are then proposed to solve those constraints: the first one is the basic transcription of the standard predesign approach; the second one leaves the problem solving to the genetic optimizer through penalization; the third one is a hybrid of both previous methods based on a constraint repairing approach. Those strategies also involved the adaptation of the helicopter modelling. Here, the focus is on two components of that new model: namely the main rotor polar and the weight assessment model.

Keywords

Helicopteroptimizationpredesignsizingpenalization
Type
Research Article
Information
Mechanics & Industry , Volume 15 , Issue 4 , 2014 , pp. 267 - 277
Copyright
© AFM, EDP Sciences 2014

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