Design of a commercial aircraft environment control system using Bayesian optimization techniques

Abstract : In this paper, we present the application of a recently developed algorithm for Bayesian multi-objective optimization to the design of a commercial aircraft environment control system (ECS). In our model, the ECS is composed of two cross-flow heat exchangers, a centrifugal compressor and a radial turbine, the geometries of which are simultaneously optimized to achieve minimal weight and entropy generation of the system. While both objectives impact the overall performance of the aircraft, they are shown to be antagonistic and a set of trade-off design solutions is identified. The algorithm used for optimizing the system implements a Bayesian approach to the multi-objective optimization problem in the presence of non-linear constraints and the emphasis is on conducting the optimization using a limited number of system simulations. Noteworthy features of this particular application include a non-hypercubic design domain and the presence of hidden constraints due to simulation failures.
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Communication dans un congrès
5th International Conference on Engineering Optimization, Jun 2016, Iguassu Falls, Brazil. Proceedings of the 5th International Conference on Engineering Optimization - Iguassu Falls, Brazil, 19-23 June 2016. 〈http://engopt.org/proceedings.php?by=author&cod=309&desc=Paul%20FELIOT〉
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Soumis le : vendredi 7 octobre 2016 - 14:42:39
Dernière modification le : vendredi 17 février 2017 - 16:10:35
Document(s) archivé(s) le : vendredi 3 février 2017 - 19:09:49

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EngOpt2016_ECS.pdf
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  • HAL Id : hal-01377722, version 1
  • ARXIV : 1610.02271

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Paul Feliot, Yves Le Guennec, Julien Bect, Emmanuel Vazquez. Design of a commercial aircraft environment control system using Bayesian optimization techniques. 5th International Conference on Engineering Optimization, Jun 2016, Iguassu Falls, Brazil. Proceedings of the 5th International Conference on Engineering Optimization - Iguassu Falls, Brazil, 19-23 June 2016. 〈http://engopt.org/proceedings.php?by=author&cod=309&desc=Paul%20FELIOT〉. 〈hal-01377722〉

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