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
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;
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
DOI :
10.1109/ICENT.2010.5532163