摘要
针对救援或维护过程中目标突发机动情况,研究了施援卫星的近程相对导航系统及其优化算法。提出可将被救援目标突发的控制加速度视作不确定的干扰因素,用强跟踪无味卡尔曼滤波(STUKF)算法,提高相对导航系统对突变状态的跟踪能力,满足对救援目标相对状态估计的精度要求。仿真结果表明:STUKF提高了对救援目标相对导航信息的实时跟踪能力,保证了滤波过程的数值稳定性,算法有效。
Aim to the target spacecraft maneuvering uncertainly during the rescuing or maintaining, the close range relative navigation and the optimal algorithm of the satellite were studied in this paper. The acceleration of the rescue target was served as the uncertain disturbance. The tracking ability of the relative navigation system to the uncertainly maneuver was improved to meet the accuracy requirement of the relative attitude between two spacecrafts by the application of strong tracking UKF （STUKF）. The simulation results showed that the real time tracking ability of the relative navigation information was improved by STUKF, which would approve the numerical stability during the filtering. The algorithm was effective.
出处
《上海航天》
2015年第4期1-7,共7页
Aerospace Shanghai
