HELICOPTER PRESIZING BY MULTIDISCIPLINARY -MULTI OBJECTIVE OPTIMIZATION

The ONERA project C.R.E.A.T.I.O.N.: Concepts of Rotorcraft Enhanced Assessment Through Integrated Optimization Network, has for main goal the development of a multidisciplinary computational workshop for the evaluation of rotorcraft concepts. The evaluation concerns both flight performances and environmental impacts (acoustics, air pollution/fuel consumption). The CREATION workshop must allow the evaluation of any rotorcraft concept whatever the level of details in its de-scription data initially available. Therefore the tool must cope with the preliminary conception and presizing problems. In this paper, two different kinds of methodologies are presented. The first one is based on a genetic algorithm for addressing the multi objective dimension of the sizing problem and for exploring largely the design space. Then once the Pareto front has been globally captured, a determinist algorithm is used for the final local optimization. The second approach makes use of Mixture of Experts for dealing with the fact that the design parameters contain both dis-crete and continuous variables. It uses a determinist algorithm for finding directly a local op-timum without requiring the computation of the Pareto front. Both methodologies have been applied successfully to the presizing of a large civil helicopter for the transportation of 90 passengers. The results will be presented and compared.

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