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Observable analysis based deep space probe autonomous-navigation method

A technology for deep space detectors and autonomous navigation, which is applied in the field of deep space exploration and can solve problems such as difficulty in satisfying navigation autonomy and real-time performance

Active Publication Date: 2014-02-19
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

However, since deep space detection targets are generally far away from the earth, the navigation scheme based on the ground deep space network is often affected by communication delays, and is also constrained by visible arcs, which makes it difficult to meet the requirements of navigation autonomy and real-time performance.

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  • Observable analysis based deep space probe autonomous-navigation method
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  • Observable analysis based deep space probe autonomous-navigation method

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Embodiment Construction

[0039] This example is aimed at the autonomous navigation scheme of the Mars exploration cruising segment. The navigation camera is used to provide navigation information for the optical measurement of the navigation stars (planets and asteroids). The optimal navigation star is selected through the observability analysis, and the combined Kalman filter is used for filtering solution. Calculate and realize high-precision real-time autonomous navigation. The specific implementation method of this example is as follows:

[0040] Step 1: Establishment of the state model of the Mars exploration cruise segment

[0041] The state model of the detector is established in the heliocentric inertial coordinate system. The state vector of the detector is the position vector r s =[r x ,r y ,r z ] T and velocity vector v s =[v x ,v y ,v z ] T . Considering the gravitational force of the sun, Mars and other perturbing forces, the state model of the probe in the Mars exploration cr...

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Abstract

The invention relates to an observable analysis based deep space probe autonomous-navigation method, and belongs to the technical field of deep space detection. The method combines the observable analysis with an optical measurement based autonomous navigation scheme, the autonomous navigation scheme is constructed by utilizing the optical measurement, and an optimal navigational star is selected through the observable analysis to make the observability of a navigation system strongest in order to realize the optimal navigation performance. The method provides navigation information through an optical measurement means, and has the advantages of low power consumption, high precision and strong autonomy; the combination of the observable analysis to select the navigational star makes the observability of the navigation system strongest, and guarantees the navigation performance; and a nonlinear filter is utilized to carry out navigation filtering solution, so the accuracy and the convergence of the navigation filtering are improved.

Description

technical field [0001] The invention relates to an autonomous navigation method of a deep space probe based on observability analysis, and belongs to the technical field of deep space detection. Background technique [0002] The target celestial body in deep space exploration is far away, and the accuracy of orbit and attitude maneuvering is high, and the uncertainty is large. As a key technology for deep space exploration, the stability, accuracy and autonomy of the navigation system directly affect the successful implementation of various scientific tasks. How to find an effective autonomous navigation method has become an urgent problem to be solved in deep space exploration research. [0003] Most of the planetary exploration missions that have been successfully implemented rely on the radial distance and velocity information measured by the ground deep space network for navigation. In order to improve the performance of ground navigation, ΔDOR measurement is added to ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01C21/02
CPCG01C21/02G01C21/20G01C21/24
Inventor 崔平远于正湜朱圣英高艾徐瑞
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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