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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。
Aiming at the uncertainty of model and noise in spacecraft attitude determination system in complex environment, a spacecraft pose determination algorithm based on volume-sensitive risk-sensitive filter (CF-RSF) is proposed. The algorithm solves the problem of poor robustness and even divergence of the filter due to system uncertainty by introducing risk-sensitive operators, and solves the problem of nonlinear integral by solving the volumetric rules. This method not only improves the robustness of the filtering algorithm to the system uncertainties, but also improves the filtering accuracy to a certain degree and reduces the computational complexity of the filtering. Simulation results show the effectiveness of the algorithm.