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大气阻力是影响低轨航天器众多空间操作的重要因素,尤其是经验密度模式,固有的至少15%的误差已经严重制约航天器轨道计算精度的提高。针对广泛应用的经验密度模式,选择物理背景简明的Jacchia71模式,以温度参数Tc和Tx为对象,建立密度相对于上述温度参数的条件方程,推导了密度相对于温度参数的解析偏导数,并给出其最小二乘解。利用CHAMP卫星数据对模式修正结果进行验证,模式平均误差从40%降低至3%左右。通过TG01飞行器的轨道预报比较,修正前后轨道预报误差从2 km降低至1.3 km。经过CHAMP卫星和TG01飞行器的实测数据检验,验证了修正算法的正确性和有效性。
Atmospheric resistance is an important factor affecting many space operations of LEO spacecraft, especially the empirical density mode. At least 15% of the inherent errors have severely restricted the improvement of spacecraft orbit calculation accuracy. Aiming at the widely used empirical density model, the Jacchia71 model with simple physical background is selected. The conditional equations of density with respect to the above temperature parameters are established based on the temperature parameters Tc and Tx, and the analytical partial derivatives of the density relative to the temperature parameters are derived. The least squares solution. Using CHAMP satellite data to validate the results of modal correction, the average error of the model is reduced from 40% to about 3%. Through the comparison of orbit forecast of TG01 aircraft, the error of orbital forecast before and after correction reduced from 2 km to 1.3 km. After CHAMP satellite and TG01 aircraft measured data test, verify the correctness and validity of the correction algorithm.