基于FPSO的小天体着陆系统陆标选取方法  

Landmark Selection Method of Small Celestial Autonomous Landing Navigation System Based on FPSO

作　　者：冀红霞 宗红[1] 雷拥军[1,2] JI Hong-xia;ZNG Hong;LEI Yong-jun(Beijing Institute of Control Engineering,Beijing 100190,China;Science and Technology on Space Intelligent Control Laboratory,Beijing 100190,China)

机构地区：[1]北京控制工程研究所,北京100190 [2]空间智能控制技术重点实验室,北京100190

出　　处：《计算机仿真》2021年第1期21-26,共6页Computer Simulation

基　　金：国家自然科学基金(61673057)。

摘　　要：针对用于视觉导航计算的陆标点存在数据量大,计算机存储空间有限的问题,采用一种模糊逻辑规则的粒子群算法的陆标选取方法,并对惯性权值采用模糊逻辑规则方法进行动态调整,以提高算法的求解精度,以空间几何精度因子为适应度指标,建立惯性测量单元、光学相机及测速敏感器多信息融合的小天体探测器着陆系统,最后以Eros433小天体着陆为例进行仿真验证,采用FPSO算法生成的优化陆标参与导航解算,在与传统陆标选取方法相比,提出的方法能够有效减少计算量并提高导航精度。In order to solve the problem of large amount of data and limited computer storage space of landmark points used in visual navigation calculation,a landmark selection method based on particle swarm optimization with fuzzy logic rules was adopted,and the inertial weight was dynamically adjusted by using fuzzy logic rules to improve the accuracy of the algorithm.An inertial measurement unit was established with the spatial geometric accuracy factor as the fitness index.The landing system of small object detector based on multi-information fusion of optical camera and velocity sensor was simulated and validated with the Eros 433 celestial body landing as an example.The optimized landmarks generated by FPSO algorithm were used in navigation solution.Compared with the traditional landmark selection method,the proposed method can effectively reduce the computational load and improve the navigation accuracy.

关 键 词：粒子群算法 模糊逻辑规则 陆标选取 自主导航 

分 类 号：V411.8[航空宇航科学与技术—航空宇航推进理论与工程]