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首页> 外文期刊>Advances in space research >Augmentation method of XPNAV in Mars orbit based on Phobos and Deimos observations
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Augmentation method of XPNAV in Mars orbit based on Phobos and Deimos observations

机译:基于火卫一和Deimos观测的火星轨道XPNAV增强方法

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摘要

Autonomous navigation for Mars probe spacecraft is required to reduce the operation costs and enhance the navigation performance in the future. X-ray pulsar-based navigation (XPNAV) is a potential candidate to meet this requirement. This paper addresses the use of the Mars' natural satellites to improve XPNAV for Mars probe spacecraft. Two observation variables of the field angle and natural satellites' direction vectors of Mars are added into the XPNAV positioning system. The measurement model of field angle and direction vectors is formulated by processing satellite image of Mars obtained from optical camera. This measurement model is integrated into the spacecraft orbit dynamics to build the filter model. In order to estimate position and velocity error of the spacecraft and reduce the impact of the system noise on navigation precision, an adaptive divided difference filter (ADDF) is applied. Numerical simulation results demonstrate that the performance of ADDF is better than Unscented Kalman Filter (UKF) DDF and EKF. In view of the invisibility of Mars' natural satellites in some cases, a visibility condition analysis is given and the augmented XPNAV in a different visibility condition is numerically simulated. The simulation results show that the navigation precision is evidently improved by using the augmented XPNAV based on the field angle and natural satellites' direction vectors of Mars in a comparison with the conventional XPNAV.
机译:需要火星探测器航天器进行自主导航,以降低运营成本并提高未来的导航性能。基于X射线脉冲星的导航(XPNAV)是满足此要求的潜在选择。本文着眼于利用火星的天然卫星来改善火星探测器航天器的XPNAV。 XPNAV定位系统中添加了火星的视场角和自然卫星方向矢量这两个观测变量。通过处理从光学相机获得的火星卫星图像,制定了场角和方向矢量的测量模型。该测量模型被集成到航天器的轨道动力学中,以建立滤波器模型。为了估计航天器的位置和速度误差并减少系统噪声对导航精度的影响,应用了自适应分差滤波器(ADDF)。数值仿真结果表明,ADDF的性能优于无味卡尔曼滤波器(UKF)DDF和EKF。鉴于火星天然卫星在某些情况下不可见,进行了可见度条件分析,并对不同可见度条件下的增强XPNAV进行了数值模拟。仿真结果表明,与传统的XPNAV相比,使用基于火星的场角和自然卫星方向矢量的增强XPNAV可以明显提高导航精度。

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