基于CF-RSF算法的航天器姿态确定

Spacecraft attitude determination based on CF-RSF algorithm

针对复杂环境下航天器姿态确定系统中的模型和噪声不确定问题,提出一种基于求容积规则的风险敏感滤波(CF-RSF)的航天器姿态确定算法。该算法通过引入风险敏感算子来解决由于系统的不确定性而导致滤波器鲁棒性差,甚至发散的问题,并通过求容积规则来解决非线性积分问题。该方法不仅提高了滤波算法对系统不确定性问题的鲁棒性,而且一定程度上提高了滤波的精度,降低了滤波的计算复杂性。仿真结果表明了算法的有效性。

A method to estimate spacecraft attitude using Risk Sensitive Filter was presented based on Cubature Rules （CF-RSF）. The objective was to solve the uncertain problem of system model and noise in complex condition. Introducing risk sensitive function, this scheme overcame the poor robustness and even divergence of filter caused by system uncertainty, and solved nonlinear integral problem using cubature rules. The filter accuracy and robustness on system uncertainty were both improved, and the computational complexity was decreased. The simulation shows that the developed algorithm is effective.