TY - GEN
T1 - Integrated Design Tool for Conceptual Design of Aerodynamic Surfaces Based on Multi-objective Genetic Algorithm
AU - Elmahdi, Loai A.
AU - Xu, Yuanming
AU - Khalil, Elsayed M.
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/7/30
Y1 - 2021/7/30
N2 - This study aims to provide a robust and rapid design tool to be used in the sizing of the aerodynamic surfaces of an air vehicle. This tool aims to find a globally optimum aerodynamic configuration during the considered conceptual design phase. The considered tool is composed of an aerodynamic prediction module, a three-degree of freedom trajectory simulation module, and a multi-objective genetic optimization algorithm (MOGA). A robust interactive objective-normalization approach is applied. The tool is tested, and the designed fin dimensions and aerodynamic characteristics of the missile are compared with an available designed one. The design case study introduced, and the results show that the proposed tool introduces a robust aerodynamic configuration that can be introduced to the preliminary design phase. That is thanks to the used reliable aerodynamic prediction code results as well as multi-objective optimization of trajectory parameters using a suitable normalization technique.
AB - This study aims to provide a robust and rapid design tool to be used in the sizing of the aerodynamic surfaces of an air vehicle. This tool aims to find a globally optimum aerodynamic configuration during the considered conceptual design phase. The considered tool is composed of an aerodynamic prediction module, a three-degree of freedom trajectory simulation module, and a multi-objective genetic optimization algorithm (MOGA). A robust interactive objective-normalization approach is applied. The tool is tested, and the designed fin dimensions and aerodynamic characteristics of the missile are compared with an available designed one. The design case study introduced, and the results show that the proposed tool introduces a robust aerodynamic configuration that can be introduced to the preliminary design phase. That is thanks to the used reliable aerodynamic prediction code results as well as multi-objective optimization of trajectory parameters using a suitable normalization technique.
KW - Aerodynamic shape optimization
KW - Conceptual design tool
KW - Multiobjective genetic algorithm
KW - Supersonic aerodynamics
UR - https://www.scopus.com/pages/publications/85116589027
U2 - 10.1109/ICCSSE52761.2021.9545200
DO - 10.1109/ICCSSE52761.2021.9545200
M3 - 会议稿件
AN - SCOPUS:85116589027
T3 - 2021 7th International Conference on Control Science and Systems Engineering, ICCSSE 2021
SP - 262
EP - 267
BT - 2021 7th International Conference on Control Science and Systems Engineering, ICCSSE 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International Conference on Control Science and Systems Engineering, ICCSSE 2021
Y2 - 30 July 2021 through 1 August 2021
ER -