Open AccessMulti-Objective Optimization Design of Liftbody Aircraft Using Kriging Model
Author(s) -
Lixiao Xu,
Bin Zhang,
Bin Chen,
Peng Wu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1985/1/012034
Subject(s) - airframe , surrogate model , aerodynamics , propulsion , aerospace engineering , kriging , genetic algorithm , nozzle , hypersonic speed , multidisciplinary design optimization , cruise , computer science , automotive engineering , engineering , social science , machine learning , multidisciplinary approach , sociology
The evolutionary algorithm combined with Kriging surrogate model is applied to aerodynamic optimization design of high-altitude hypersonic aircraft. In this paper, a 3D liftbody aircraft in cruise flight state is designed which divided into forebody/inlet, engine and after-body/nozzle parts, and its variable parameterization method is studied by considering the multi-disciplinary coupling effect of airframe/engine integration; four disciplines analysis model, i.e. engine propulsion performance, the forebody/inlet air-breathing performance, aerodynamic force and thermodynamics, are established and the appropriate objective parameters are selected, then genetic algorithms are used to optimize the design. The single-objective optimization results show that the performance of aircraft is effectively improved; the multi-objective optimization results reveal that the total trade-off is achieved.