Nonlinear satellite orbit determination method based on autonomous filtering order switching

A technology for determining the method and satellite orbit, which is applied to space navigation equipment, space navigation vehicles, space navigation equipment, etc., and can solve the problem that the Kalman filter cannot obtain the advantages of low-level algorithms and high-level algorithms at the same time

Active Publication Date: 2021-02-05
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

[0004] The object of the present invention is to overcome in above-mentioned prior art, the non-linear extended Kalman filter can not obtain the shortcoming of the advantage of low-level algorithm and high-order algorithm simultaneously, provide a kind of nonlinear satellite orbit determination method based on autonomous filtering order switching

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  • Nonlinear satellite orbit determination method based on autonomous filtering order switching
  • Nonlinear satellite orbit determination method based on autonomous filtering order switching
  • Nonlinear satellite orbit determination method based on autonomous filtering order switching

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Embodiment 1

[0070] This example discloses a high-order fault-tolerant satellite orbit determination method based on polynomial expansion technology. The specific implementation steps are as follows:

[0071] Step 1: Establish the dimensionless satellite orbit state equation as

[0072]

[0073] in respectively represent the dimensionless time, the dimensionless position vector, velocity vector and angular velocity value of the satellite, t, r, v, ω represent the corresponding dimensioned values, Indicates the norm of the satellite's dimensionless position vector; in addition, the nominal angular velocity of the satellite Indicates the average orbital angular velocity of the satellite running on the orbit with the semi-major axis a=42164km, μ e is the gravitational constant of the earth.

[0074] Step 2: Establish nonlinear measurement equations, including radial distance, right ascension and declination,

[0075]

[0076] where u=[u 1 ,u 2 ,u 3 ] T Indicates the measureme...

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Abstract

The invention discloses a nonlinear satellite orbit determination method based on autonomous filtering order switching, which belongs to the field of satellite orbit determination. A high-order methodis suitable for accurate state estimation when nonlinearity is high, a low-order method is suitable for high-efficiency filtering when a filter enters a stable stage, and by designing a self-adaptivefiltering order switching strategy, filtering orders are dynamically changed according to needs in one estimation process on the premise that precision is guaranteed. In the filtering process, the measurement innovation is calculated, the filtering consistency characteristic is checked, and when the system nonlinearity is high, a high-order algorithm is adopted to ensure the precision; and when the filtering process enters a stable state, a low-order algorithm is adopted to ensure the efficiency. The method not only maintains the high-precision characteristic of the original nonlinear extended Kalman filter adopting a high order, but also inherits the high efficiency during low-order operation, is universally suitable for orbit determination of satellites, space debris and the like, and can accelerate the execution speed of high-precision satellite orbit determination.

Description

technical field [0001] The invention belongs to the field of satellite orbit determination, and relates to a nonlinear satellite orbit determination method based on autonomous filtering order switching. Background technique [0002] In recent years, with the refinement and diversification of human space activities, higher requirements have been put forward for the orbit determination of in-orbit satellites, including high precision and high efficiency, low measurement requirements, and low initial value dependence. However, for most conventional filters at present, such as traditional filters such as Kalman filter, extended Kalman filter, particle filter, etc., it is always impossible to meet all these requirements. Potential filters that can meet the above performance requirements at the same time are only the tasteless Kalman filter and the nonlinear extended Kalman filter based on Taylor polynomial expansion technology. Both of them show particularly good performance when...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B64G1/24G06F30/15G06F111/10
CPCB64G1/242G06F30/15G06F2111/10
Inventor 孙冲陈建林袁源
Owner NORTHWESTERN POLYTECHNICAL UNIV
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