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Fast Optimization of Glide Vehicle Reentry Trajectory Based on Genetic Algorithm

被引：0
|
作者：
Jia Jun [1 ]
Dong Ruixing [1 ]
Yuan Xuejun [1 ]
Wang Chuangwei [1 ]
机构：
[1] Shanghai Electromech Engn Inst, 3888 Yuanjiang Rd, Shanghai 201109, Peoples R China
来源：
FOURTH SEMINAR ON NOVEL OPTOELECTRONIC DETECTION TECHNOLOGY AND APPLICATION | 2018年 / 10697卷
关键词：
Glide Vehicle; Reentry Trajectory; Fast Optimization; Genetic Algorithm;
D O I：
10.1117/12.2309292
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
An optimization method of reentry trajectory based on genetic algorithm is presented to meet the need of reentry trajectory optimization for glide vehicle. The dynamic model for the glide vehicle during reentry period is established. Considering the constraints of heat flux, dynamic pressure, overload etc., the optimization of reentry trajectory is investigated by utilizing genetic algorithm. The simulation shows that the method presented by this paper is effective for the optimization of reentry trajectory of glide vehicle. The efficiency and speed of this method is comparative with the references. Optimization results meet all constraints, and the on-line fast optimization is potential by pre-processing the offline samples.
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页数：13
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