上海航天（中英文）2023，Vol.40Issue(6)：121-135,15.DOI:10.19328/j.cnki.2096-8655.2023.06.016
基于量子海鸥算法的运载火箭回收舱段时差定位方法
TDOA Positioning Method of Launch Vehicle Recovery Cabin Based on Quantum Seagull Optimization Algorithm
摘要
Abstract
The accurate location of launch vehicle recovery cabin is one of the key technologies to realize reusable launch vehicles.According to the characteristics of the flight trajectory of a launch vehicle recovery cabin,the positioning system of the launch vehicle recovery cabin is designed by adding an active radiation source on the recovery cabin and based on the passive positioning principle of multi-station time difference of arrival(TDOA).Then,the solving problem of the TDOA nonlinear location equation is transformed into the extreme value optimization problem of the TDOA likelihood function.The seagull optimization algorithm(SOA)is improved by introducing the quantum coding theory,chaotic mapping,and genetic reverse learning mechanism for searching and recovering the optimal location information of the cabin.The simulation results show that the improved quantum seagull optimization algorithm(QSOA)is superior to the traditional Chan algorithm and the standard seagull algorithm in the early convergence speed,the positioning accuracy,the global search ability,etc.of the positioning solution of the rocket recovery cabin.关键词
无源定位/到达时间差(TDOA)/海鸥算法(SOA)/运载火箭/量子编码Key words
passive positioning/time difference of arrival(TDOA)/seagull optimization algorithm(SOA)/launch vehicle/quantum coding分类
信息技术与安全科学引用本文复制引用
叶智慧,吴红梅,王佩,熊伟,郭颖,陈略,董志源..基于量子海鸥算法的运载火箭回收舱段时差定位方法[J].上海航天（中英文）,2023,40(6):121-135,15.基金项目
上海航天科技创新基金项目(SAST2019-101) （SAST2019-101）
陕西省重点研发计划产业链项目(2021ZDLGY11-04) （2021ZDLGY11-04）
