Deeply-integrated navigation method for acquisition phase of deep space exploration

Abstract

The invention provides a deeply-integrated navigation method for an acquisition phase of deep space exploration. The deeply-integrated navigation method comprises a preparation stage and a filter stage, wherein in the preparation stage, a rail dynamic model, a direction measuring model, a distance measuring model and a speed measuring model of a deep space explorer are established; in the filter stage, an extended Kalman filter is utilized for filtering; a state transfer model in a navigation filter is the rail dynamic model; selection of measuring models in the navigation filter comprises selecting the direction measuring model or the speed measuring model when distance measuring information is not obtained within a pulse observation period, and compensation is carried out on a pulse signal received by an X-ray sensor; when pulse signal accumulation is completed and distance measuring information is obtained, the distance measuring model is selected; the navigation filter utilizes the distance measuring model to obtain a position and a speed vector needed by navigation. According to the deeply-integrated navigation method, Doppler deviation of pulse arrival time is inhibited, filter convergence is realized, positioning precision is high, and the requirements on the sensor are very low. Therefore, the deeply-integrated navigation method has important practical significance on self-navigation of a spacecraft.

Description

technical field [0001] The invention belongs to the field of autonomous navigation of spacecraft, and in particular relates to a direction-finding / range-finding / speed-measuring depth combined navigation method for deep space detection and capture segments. Background technique [0002] Navigation information is the premise of guidance and is crucial to the success or failure of deep space exploration. Affected by the ultra-long distance and the long delay, the ground station cannot provide real-time high-precision navigation information, especially in the capture segment. Since 1990, there have been 7 failures of deep space exploration missions, 4 of which were related to the capture phase. The spacecraft autonomous navigation system can provide real-time high-precision autonomous navigation for deep space probes by measuring and calculating celestial body information. Therefore, astronomical autonomous navigation is extremely important for the capture segment. The captur...

AI Technical Summary

Problems solved by technology

But this is not a deep combination, it does not consider the influence of the Doppler effect of pulsar ranging and navigation, and it is even more unable to adapt to the high dynamic environment of the capture segment

[0005] To sum up, in the highly dynamic environment of deep space exploration and capture, the X-ray pulsar ranging and navigation system is seriously affected by the Doppler effect, and its measurement information has large deviations; speed measurement and navigation cannot provide high-precision positioning Information; the tangential accuracy of direction finding navigation is acceptable, but the accuracy in the radial direction is extremely low

That is to say, a single navigation method is not suitable for the task of high-precision autonomous navigation in the deep space exploration and capture segment.

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