摘要
针对小卫星快速姿态机动要求,提出一种基于粒子群优化(PSO)算法的卫星快速姿态机动及稳定控制方法。该方法首先以粒子种群的初始位置为卫星机动加速阶段终点时刻进行路径规划,然后针对规划好的路径利用维持跟踪控制进行姿态机动,在路径末端利用黄金分割和逻辑微分进行稳定控制,最后以卫星姿态到达目标角度且保持稳定的时间作为适配值,寻找出一条在该组合控制方法和限制条件下的最优路径进行姿态机动及稳定控制。该控制方法能够根据星体的实际动力学特性、环境特征、限制条件及控制性能进行最优机动及稳定控制。将该方法应用到小卫星的姿态机动控制中,仿真结果表明该方法有效。
In view of the small satellite fast attitude maneuver,a satellite control method for fast attitude maneuver and stabilization based on particle swarm optimization(PSO)was proposed.First,this method does the path planning which the initial position of particle population is as the finish time for satellite maneuver acceleration period;then in this path planning the maintenance tracking control was used for tracking,and in the end of the maneuver path,the golden section control and logic differential control were used to make stability control;at last,the time of satellite attitude maneuver to target angle and stable was taken as adaptive value to find out an optimal path in the conditions of this combined control method and other limit to attitude maneuver and stability control.This control method can do optimal maneuver and stability control according to the actual dynamic characteristics,environmental characteristics of the astral,constraints and control performance.Applying this method to the small satellite attitude control,simulation results show the effectiveness of the method.
出处
《中国空间科学技术》
EI
CSCD
北大核心
2017年第4期34-40,共7页
Chinese Space Science and Technology
基金
国家自然科学基金(61333008)
关键词
姿态控制
快速机动
粒子群优化算法
挠性卫星
稳定
attitude control
fast maneuver
partical swarm optimization
flexible satellite
stabilize