2018•Fourth Seminar on Novel Optoelectronic Detection Technology and ApplicationRequires access
Fast optimization of glide vehicle reentry trajectory based on genetic algorithm
Jun Jia, Ruixing Dong, C.C. Wang, Xuejun Yuan
Open publisher page 0 citations
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.