Gaussian pigeon-inspired optimization approach to orbital spacecraft formation reconfiguration  

作　　者：Zhang Shujian Duan Haibin 

机构地区：[1]School of Automation Science and Electrical Engineering, Beihang University

出　　处：《Chinese Journal of Aeronautics》2015年第1期200-205,共6页中国航空学报（英文版）

基　　金：supported by the National Natural Science Foundation of China(Nos.61425008,61333004,61273054);the Top-Notch Young Talents Program of China;the Aeronautical Science Foundation of China(No.20135851042)

摘　　要：With the rapid development of space technology, orbital spacecraft formation has received great attention from international and domestic academics and industry. Compared with a single monolithic, the orbital spacecraft formation system has many advantages. This paper presents an improved pigeon-inspired optimization（PIO） algorithm for solving the optimal formation reconfiguration problems of multiple orbital spacecraft. Considering that the uniform distribution random searching system in PIO has its own weakness, a modified PIO model adopting Gaussian strategy is presented and the detailed process is also given. Comparative experiments with basic PIO and particle swarm optimization（PSO） are conducted, and the results have verified the feasibility and effectiveness of the proposed Gaussian PIO（GPIO） in solving orbital spacecraft formation reconfiguration problems.With the rapid development of space technology, orbital spacecraft formation has received great attention from international and domestic academics and industry. Compared with a single monolithic, the orbital spacecraft formation system has many advantages. This paper presents an improved pigeon-inspired optimization（PIO） algorithm for solving the optimal formation reconfiguration problems of multiple orbital spacecraft. Considering that the uniform distribution random searching system in PIO has its own weakness, a modified PIO model adopting Gaussian strategy is presented and the detailed process is also given. Comparative experiments with basic PIO and particle swarm optimization（PSO） are conducted, and the results have verified the feasibility and effectiveness of the proposed Gaussian PIO（GPIO） in solving orbital spacecraft formation reconfiguration problems.

关 键 词：spacecraft orbital inspired searching verified swarm circle landmark weakness GPIO 

分 类 号：V448[航空宇航科学与技术—飞行器设计]