Assessment of a boundary layer ingesting turboelectric aircraft configuration using signomial programming

David K. Hall, Aidan P. Dowdle, Jonas J. Gonzalez, Lauren Trollinger, William Thalheimer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

In this paper, we assess the performance of a boundary layer ingesting turboelectric aircraft configuration for commercial transport. The analysis is carried out by casting the relations governing the sizing and performance of the aircraft system as an optimization problem. The objective and constraint functions are defined such that the model can be formulated as a signomial program (SP) and solved with an existing toolkit using robust geometric programming (GP) solution methods. The framework allows the aircraft to be described as a collection of SP-compatible component models which are optimized simultaneously, including the effect of system-level interaction between components. Predicted configuration sizing and performance of the distributed turboelectric propulsion configuration are comparable to that of an equivalent conventional configuration baseline. Sensitivities of fuel burn to input parameters are outputs of the solution and provide insight into the quality of both the initial selection of design parameters and the model formulation. Optimization of the aircraft and propulsion system demonstrates the usefulness of a global optimization framework for addressing multi-disciplinary challenges in electrified aircraft propulsion system design.

Original languageEnglish (US)
Title of host publication2018 Aviation Technology, Integration, and Operations Conference
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624105562
DOIs
StatePublished - 2018
Event18th AIAA Aviation Technology, Integration, and Operations Conference, 2018 - Atlanta, United States
Duration: Jun 25 2018Jun 29 2018

Publication series

Name2018 Aviation Technology, Integration, and Operations Conference

Conference

Conference18th AIAA Aviation Technology, Integration, and Operations Conference, 2018
CountryUnited States
CityAtlanta
Period6/25/186/29/18

All Science Journal Classification (ASJC) codes

  • Energy(all)
  • Aerospace Engineering

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