Computational Intelligence - November 2013 - 39
Optimal Satellite Formation
Reconfiguration Based
on Closed-Loop
Brain Storm Optimization
Changhao Sun and Haibin Duan
Science and Technology on Aircraft Control
Laboratory, Beihang University (BUAA),
Beijing 100191, P.R. ChinA
Yuhui Shi
Xi'an Jiaotong-Liverpool University,
Suzhou 215123, P.R. ChinA
Abstract-In recent years, satellite formation
flying has become an increasingly hot topic for
both the astronomy and earth science communities due to its potential merits compared with
a single monolithic spacecraft system. This
paper proposes a novel approach based on
closed-loop brain storm optimization (CLBSO)
algorithms to address the optimal formation
reconfiguration of multiple satellites using twoimpulse control. The optimal satellite formation
reconfiguration is formulated as an optimization problem with the constraints of overall
fuel cost minimization, final configuration, and
collision avoidance. Three versions of CLBSOs
are developed by replacing the creating operator in basic brain storm optimization (BSO)
with closed-loop strategies, which facilitate
search characteristic capture and enhance the
optimization performance by taking advantage
of feedback information in the search process.
Numerical simulations are carried out using
particle swarm optimization (PSO), basic BSO,
and the three versions of CLBSOs. Comparison results show that all versions of CLBSOs
outperform PSO and the original BSO in
terms of final results and convergence speed. In
addition, CLBSO reduces the computation
burden and shortens CPU time to a certain
extent in contrast with basic BSO. Furthermore, among the three CLBSO algorithms, the
one using the strategy of difference with the best
© artville & dynamic graphics
Digital Object Identifier 10.1109/MCI.2013.2279560
Date of publication: 16 October 2013
1556-603x/13/$31.00©2013ieee
NOVeMBeR 2013 | ieee COMputatiONal iNtelligeNCe MagaziNe
39
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