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Proceedings Paper

Fast optimization of glide vehicle reentry trajectory based on genetic algorithm
Author(s): Jun Jia; Ruixing Dong; Xuejun Yuan; Chuangwei Wang
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Paper Abstract

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.

Paper Details

Date Published: 8 March 2018
PDF: 13 pages
Proc. SPIE 10697, Fourth Seminar on Novel Optoelectronic Detection Technology and Application, 106975G (8 March 2018); doi: 10.1117/12.2309292
Show Author Affiliations
Jun Jia, Shanghai Electro-Mechanical Engineering Institute (China)
Ruixing Dong, Shanghai Electro-Mechanical Engineering Institute (China)
Xuejun Yuan, Shanghai Electro-Mechanical Engineering Institute (China)
Chuangwei Wang, Shanghai Electro-Mechanical Engineering Institute (China)


Published in SPIE Proceedings Vol. 10697:
Fourth Seminar on Novel Optoelectronic Detection Technology and Application
Weiqi Jin; Ye Li, Editor(s)

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