Title :
Configuration Design of Common Aero Vehicle Based on Genetic Algorithm
Author :
Li Yongyuan ; Huang Chunping
Author_Institution :
Sch. of Mechatronical Eng., Beijing Inst. of Technol., Beijing, China
Abstract :
Lifting body configuration is one of the typical layouts of Common Aero Vehicle(CAV), and the multi-objective optimization design of the airframe for lifting body configuration can greatly improve the integrated performance of Common Aero Vehicle. This paper establishes a numerical modeling of reentry vehicle to calculate these performance indexes such as the aerodynamic, the aerodynamic heating, the volumetric efficiency and the stability. Multi-objective hybrid genetic algorithm is adopted to complete the aerodynamic shape optimization and design of hypersonic Common Aero Vehicle when under more variable and constrained condition in order to obtain the Pareto optimal solution of Common Aero Vehicle shape.
Keywords :
Pareto optimisation; aerodynamics; aerospace engineering; aircraft; design engineering; genetic algorithms; hypersonic flow; mechanical stability; vehicle dynamics; Pareto optimal solution; aerodynamic heating index; aerodynamic index; aerodynamic shape optimization; common aero vehicle; genetic algorithm; hypersonic vehicle; lifting body configuration; reentry vehicle modeling; stability index; vehicle configuration design; volumetric efficiency index; Aerodynamics; Layout; Optimization; Shape; Stability analysis; Thermal stability; Vehicles;
Conference_Titel :
Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7939-9
Electronic_ISBN :
2156-7379
DOI :
10.1109/ICIECS.2010.5678241
