DocumentCode
3298900
Title
Hypersonic vehicle wing-body joint location design optimization basing on Hybrid Genetic Algorithm
Author
Weijie, Gong ; Shuo, Tang
Author_Institution
Coll. of Astronaut., Northwestern Polytech. Univ., Xi´´an, China
fYear
2010
fDate
25-27 June 2010
Firstpage
318
Lastpage
322
Abstract
The wing-body joint location is key step in aircraft design which has close relationship with the balancing, maneuverability and stability, hiding ability. In this paper, aiming at the wing-body joint location of quasi-waverider hypersonic vehicle, improving on the Simple Genetic Algorithms(SGA), inducting the simulated annealing algorithm (SAA), the Hybrid Genetic Algorithm (HGA) comes into being. Optimizing the wing-body joint location with the HGA, getting the Pareto optimal solution, the best configuration is recommended. Comparing with the basic model configuration, the recommended configuration improves in the balancing, maneuverability and stability, hiding ability.
Keywords
Aircraft propulsion; Design optimization; Educational technology; Engines; Genetic algorithms; Pareto optimization; Simulated annealing; Space technology; Stability; Vehicles; Hybrid genetic algorithm; hypersonic vehicle; multi-objective optimization; radar cross section; wing-body joint location;
fLanguage
English
Publisher
ieee
Conference_Titel
Educational and Network Technology (ICENT), 2010 International Conference on
Conference_Location
Qinhuangdao, China
Print_ISBN
978-1-4244-7660-2
Electronic_ISBN
978-1-4244-7662-6
Type
conf
DOI
10.1109/ICENT.2010.5532163
Filename
5532163
Link To Document