Journal of System Simulation
Abstract
Abstract: Multi-objective optimization of aerodynamic layout is a key technology in the design of vehicles. The overall configuration of the shape parameters is optimized with a double swept-shaped wave shape as the basic configuration. We use NSGA-Ⅱ multi-objective genetic algorithm, take the aircraft double sweep angle as the design variable, consider the maximum takeoff weight, range, volume ratio and other performance indicators, use Elman neural network to establish the relationship between shape parameters and performance parameters, and establish constraints based on mission planning requirements. The Pareto optimal solution set is obtained by using optimized design and the individuals with better overall performance are selected. Through the date fitting of individuals with better overall performance, we obtain that the design of internal sweep angle of [60°,63°], and outer sweep angle of [43°,44°] can achieve a better solution.
Recommended Citation
Lei, Yuchang; Zhang, Dengcheng; Zhang, Yanhua; Su, Guangxu; Hao, Luo; and Ren, Zhan
(2019)
"Multi-objective Optimization Design of Aerodynamic Layout for Twin Swept-wing Aircraft,"
Journal of System Simulation: Vol. 31:
Iss.
12, Article 39.
DOI: 10.16182/j.issn1004731x.joss.19-FZ0395
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol31/iss12/39
First Page
2885
Revised Date
2019-08-01
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.19-FZ0395
Last Page
2891
CLC
TP391.9
Recommended Citation
Lei Yuchang, Zhang Dengcheng, Zhang Yanhua, Su Guangxu, Luo Hao, Zhan Ren. Multi-objective Optimization Design of Aerodynamic Layout for Twin Swept-wing Aircraft[J]. Journal of System Simulation, 2019, 31(12): 2885-2891.
DOI
10.16182/j.issn1004731x.joss.19-FZ0395
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