Fast optimization of glide vehicle reentry trajectory based on genetic algorithm

Jun Jia; Ruixing Dong; Xuejun Yuan; Chuangwei Wang

doi:10.1117/12.2309292

8 March 2018 Fast optimization of glide vehicle reentry trajectory based on genetic algorithm

Jun Jia, Ruixing Dong, Xuejun Yuan, Chuangwei Wang

Proceedings Volume 10697, Fourth Seminar on Novel Optoelectronic Detection Technology and Application; 106975G (2018) https://doi.org/10.1117/12.2309292
Event: Fourth Seminar on Novel Optoelectronic Detection Technology and Application, 2017, Nanjing, China

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.

Citation Download Citation

Jun Jia, Ruixing Dong, Xuejun Yuan, and Chuangwei Wang "Fast optimization of glide vehicle reentry trajectory based on genetic algorithm", Proc. SPIE 10697, Fourth Seminar on Novel Optoelectronic Detection Technology and Application, 106975G (8 March 2018); https://doi.org/10.1117/12.2309292

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