American Society of Civil Engineers


Attacking Satellite Path Planning Based on Genetic Algorithm


by Sun Zhao-wei, (Professor, Research Center of Satellite Technology, Harbin Institute of Technology, Harbin 15001, China.), Deng Hong, (corresponding author), (Research Center of Satellite Technology, Harbin Institute of Technology, Harbin 15001, China. E-mail: denghongsat@gmail.com), Zhong Wei-chao, (Research Center of Satellite Technology, Harbin Institute of Technology, Harbin 15001, China. E-mail: heropanda@gmail.com), and Wu Xian-de, (Research Center of Satellite Technology, Harbin Institute of Technology, Harbin 15001, China.)

Journal of Aerospace Engineering, Vol. 25, No. 1, January 2012, pp. 32-38, (doi:  http://dx.doi.org/10.1061/(ASCE)AS.1943-5525.0000110)

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Document type: Journal Paper
Abstract: In the space attack defensive system, a satellite is usually used to attack another satellite. To approach the target satellite successfully, path planning is very important for the attacking satellite, especially when the defensive system of the target satellite is composed of formation flying small satellites. This paper presents an environment model that is established on the relative orbit model of small satellites and changed into a static model for path planning. A genetic algorithm is used to find the optimal path. The coding rules, fitness function, and three genetic operators are designed in turn. The fitness function is found by considering region constraint, safe constraint, shortest length constraint, and crooked degree constraint. The simulation results show that the optimal path can be found with good stability and convergence, and the optimal path could satisfy requirements of security and the shortest path well.


ASCE Subject Headings:
Satellites
Planning
Optimization
Military engineering
Aerospace engineering

Author Keywords:
Satellites
Planning
Optimization