TR2023-069

Simulator-based Mission Optimization for Conceptual Aircraft Design with Turboelectric Propulsion


    •  Hu, H., Menner, M., Wang, Y., Fang, H., Sun, D., Takegami, T., "Simulator-based Mission Optimization for Conceptual Aircraft Design with Turboelectric Propulsion", AIAA/IEEE Electric Aircraft Technologies Symposium (EATS), DOI: 10.2514/​6.2023-3872, June 2023, pp. 3872.
      BibTeX TR2023-069 PDF
      • @inproceedings{Hu2023jun,
      • author = {Hu, Hanyao and Menner, Marcel and Wang, Yebin and Fang, Huazhen and Sun, Dengfeng and Takegami, Tomoki},
      • title = {Simulator-based Mission Optimization for Conceptual Aircraft Design with Turboelectric Propulsion},
      • booktitle = {AIAA/IEEE Electric Aircraft Technologies Symposium (EATS)},
      • year = 2023,
      • pages = 3872,
      • month = jun,
      • doi = {10.2514/6.2023-3872},
      • url = {https://www.merl.com/publications/TR2023-069}
      • }
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  • Research Areas:

    Electric Systems, Multi-Physical Modeling, Optimization

Abstract:

The electrification of pneumatic or hydraulic system on aircraft has been shown effective in reducing the fuel burn. Recently, electrifying propulsive loads has attracted a lot of attention to further improve fuel economy. This work focuses on tools to facilitate more electric aircraft at conceptual design stage, particularly assuming a turbo-generator architecture. Specifically, we develop a simulation tool, mimicking SUAVE [1], which allows mission and fuel burn analysis. Major differences from SUAVE include more detailed models of components in the electric propulsive branch and degrees of freedom to adjust the velocity profile along the entire mission. Based on the simulator, this work further proposes to leverage a gradient-free optimization technique, which optimizes the optimal velocity profile along the entire mission to minimize fuel burn. Simulation results on two aircraft designs, a conventional Boeing 737-800 and NASA-STARC-ABL, verify the effectiveness of the proposed tools.