27-06-2023 дата публикации
Номер: CN116341390A
Автор:
LIU JUNSHENG,
NIU ZHIQI,
YANG YUNGANG,
YANG SHUXING,
MIAO JINSONG,
LI QI,
LI HAO,
WEI QI,
PEI PEI,
PANG CHUANBO,
DENG HAIPENG,
GAO DENGWEI,
ZHANG YONGLI,
GUO GUOQIANG,
SI RENHUI,
LI YAO,
DU YUNLI
Принадлежит:
The invention provides a global search fast convergence multi-constraint ballistic optimization method, which comprises the following steps of: forming an optimization variable by using attack angles at a plurality of discrete moments, establishing an improved particle swarm optimization algorithm, and obtaining a global optimal solution meeting multi-constraint conditions such as a falling angle, a falling speed, a ballistic height, a maximum overload or normal force, a heat flux and the like of a guided rocket. And when the fitness value of the optimization objective function is converged, obtaining an optimal attack angle sequence and an optimal trajectory. According to the method, rapid iteration convergence can be carried out under the multi-constraint conditions of the falling angle, the falling speed, the trajectory height, the maximum overload or normal force, the heat flux density and the like of the guided rocket, the optimal trajectory is obtained, algorithm prematurity and falling ...
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