Multiobjective Optimization of a Highly Maneuverable Supersonic Airfoil Using Multifidelity EGO

Tomotaka Watanabe, Koichi Yonemoto, Takahiro Fujikawa, Ayaka Yamazaki

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In supersonic flight regimes, maneuverability reduces owing to the retreat of the aerodynamic center. This paper describes an optimization that objective is the shift forward of the aerodynamic center to solve the maneuverability problem. For this optimization, multifidelity efficient global optimization (EGO) was used, which is an extension of EGO that uses a surrogate model for an efficient search and allows using two different evaluation functions with different fidelities. B-spline curves, which allow for a flexible airfoil shape, were used to generate the airfoil shape. We could determine the type of the airfoil shape that would move the aerodynamic center forward from the pressure distribution and control points of the B-spline curve based on the optimization results. Therefore, we succeeded in finding the geometric features that determine the tradeoff between the aerodynamic center position and lift–drag ratio. The contribution of the geometry of the airfoil to the aerodynamic center is discussed herein.

Original languageEnglish
Title of host publicationThe Proceedings of the 2021 Asia-Pacific International Symposium on Aerospace Technology APISAT 2021, Volume 1
EditorsSangchul Lee, Cheolheui Han, Jeong-Yeol Choi, Seungkeun Kim, Jeong Ho Kim
PublisherSpringer Science and Business Media Deutschland GmbH
Pages339-351
Number of pages13
ISBN (Print)9789811926884
DOIs
Publication statusPublished - 2023
EventAsia-Pacific International Symposium on Aerospace Technology, APISAT 2021 - Virtual, Online
Duration: 15 Nov 202117 Nov 2021

Publication series

NameLecture Notes in Electrical Engineering
Volume912
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceAsia-Pacific International Symposium on Aerospace Technology, APISAT 2021
CityVirtual, Online
Period15/11/2117/11/21

Keywords

  • Aerodynamic optimization
  • Evolutionary algorithm
  • Multifidelity optimization
  • Multiobjective optimization
  • Supersonic airfoil

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