基于多目标进化算法的卫星机动路径规划

建立了带挠性帆板卫星姿态控制问题的多目标优化模型,并基于一种多目标优化精英进化算法,规划卫星姿态机动的最优路径,以进一步提高卫星姿态控制系统的控制性能.仿真结果表明,所提方法只需运行一次,便能够有效地规划出一组多样性较好的非支配路径解,供决策者在不同的工作目标下选择,有效地缓解了卫星快速性、姿态稳定度、卫星机动所激发的帆板低振动强度之间的矛盾.

Path planning for maneuver of the satellite based on a multi-objective evolutionary algorithm

The multi-objective optimization model for the attitude control of the flexible satellite was constructed,and a multi-objective optimization elitist evolutionary algorithm was applied to the path planning for large angle maneuver of flexible satellite,in order to further improve the performance of the attitude control system.Simulation results indicate that the proposed approach could find a diverse set of non-dominated path solutions efficiently in one run,whereby the decision maker can make a choice in the case of different working requirements.Meanwhile,the conflicts among criterions of rapidity,stability degree of the attitude and low vibration of solar panel caused by maneuver of the satellite can be alleviated.