An evolutionary trajectory planning algorithm with fuel-balancing for multiple spacecraft formation reconfiguration

作者：Wang Shu Yan^*; Zheng Chang Wen

来源：Journal of Astronautics, 2008, 29(4): 1194-1199+1215.

• Constraint conditions
• Evolutionary computations
• Formation reconfiguration
• Initial states
• Multi-objective optimizations
• Optimal performances
• Optimization objectives
• Pareto solutions
• Reference trajectories
• Spacecraft formations
• Specific knowledges
• Trajectory planning
• Trajectory planning algorithms

Trajectory planning for multiple spacecraft formation reconfiguration is to generate reference trajectories between the initial states and the desired states that have optimal or near optimal performances under specific constraint conditions. This problem was modeled as a MOP (Multi-objective Optimization Problem) in this paper and a niched evolutionary algorithm was presented. Combining the concepts of evolutionary computation with problem specific knowledge, our approach evaluates one maneuver plan from three objectives point of view: the end-time, the fuel consumption and the fuel-balancing variance. Multiple Pareto-optimal maneuver plans can be generated simultaneously and the relationships of the optimization objectives are concluded. The implementation and experiment described in this paper have demonstrated the efficiency of the proposed method.

• 出版日期2008