摘要
挠性卫星大角度机动姿态控制要求卫星能够较快地机动到给定位置,同时要求由卫星机动引起的帆板振动强度尽可能地小。基于一种新型的多目标优化进化算法,规划卫星的大角度机动路径,以同时优化卫星姿态机动的快速性和帆板低振动强度两个指标。仿真结果表明,所提方法运行一次便能够有效地搜索到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,有效地缓解了两个指标间的矛盾。
The attitude control for large angle maneuver of flexible satellite requires the satellite can follow the given angle quickly. Meanwhile, vibration of solar panel caused by maneuver of the satellite is expected to be low. A new multi-objective optimization evolutionary algorithm was applied to the path planning for large angle maneuver of satellite, which can optimize both the rapidity of maneuver and low vibration of solar panel. Simulation results indicate that the proposed approach can search a diverse set of non-dominated path solutions in one run efficiently, from which the decision maker can make a selection under different working requirements. The approach proposed alleviates the conflicts between two criteria.
出处
《计算机科学》
CSCD
北大核心
2010年第7期248-250,263,共4页
Computer Science
基金
空间智能控制技术国家重点实验室项目资助
关键词
挠性卫星
大角度机动
姿态控制
多目标优化
进化算法
Flexible satellite, Large angel maneuver, Attitude control, Multi objective optimization, Evolutionary algorithms
