TY - JOUR
T1 - A Configuration Optimization Method of Integrating Concentrating Migration Genetic Algorithm for Cellular Reconfigurable Spacecrafts
AU - Zhou, Jun
AU - Wei, Bosong
AU - Liu, Yingying
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2020
Y1 - 2020
N2 - The cellular reconfigurable spacecraft has been highly concerned as a flexible and cheaper space system. To obtain a suitable and optimal configuration scheme for our work, a novel configuration optimization method is proposed in this paper. Firstly, three-level module management architecture is built for the configuration design of cellular reconfigurable spacecraft, which can realize the free definition of modules. Afterwards, by designing the performance index suitable for our task requirements, the configuration design issue is modeled as an optimal problem. Due to the limitation of existing solutions, a novel genetic algorithm is developed by drawing inspiration from the concentrating migration behavior in wildebeest population. And then, based on all above works, a configuration optimization method based on the concentrating migration genetic algorithm is presented. The simulation result shows that the presented method can obtain an assembly configuration with better moment of inertia and smaller envelope filling ratio. That is to say, the overall performance of configuration is better.
AB - The cellular reconfigurable spacecraft has been highly concerned as a flexible and cheaper space system. To obtain a suitable and optimal configuration scheme for our work, a novel configuration optimization method is proposed in this paper. Firstly, three-level module management architecture is built for the configuration design of cellular reconfigurable spacecraft, which can realize the free definition of modules. Afterwards, by designing the performance index suitable for our task requirements, the configuration design issue is modeled as an optimal problem. Due to the limitation of existing solutions, a novel genetic algorithm is developed by drawing inspiration from the concentrating migration behavior in wildebeest population. And then, based on all above works, a configuration optimization method based on the concentrating migration genetic algorithm is presented. The simulation result shows that the presented method can obtain an assembly configuration with better moment of inertia and smaller envelope filling ratio. That is to say, the overall performance of configuration is better.
KW - Cellular reconfigurable spacecraft
KW - configuration optimal design
KW - genetic algorithm
KW - in-orbit autonomous assembly
UR - http://www.scopus.com/inward/record.url?scp=85083359328&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2020.2981489
DO - 10.1109/ACCESS.2020.2981489
M3 - 文章
AN - SCOPUS:85083359328
SN - 2169-3536
VL - 8
SP - 61540
EP - 61548
JO - IEEE Access
JF - IEEE Access
M1 - 9044746
ER -