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A method for autonomous satellite orbit determination based on sliding mode control and neural network

A neural network and autonomous orbit determination technology, applied in the field of aerospace satellite navigation systems, can solve the problems of periodic orbit initial value error and space perturbation sensitivity, and achieve the effect of strong robustness and accurate orbit determination

Active Publication Date: 2019-05-31
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The dynamic models used to describe the motion of Lagrangian point satellites all adopt the circular restricted three-body problem model. The periodic orbit solved by the volume problem model is very sensitive to the initial value error and space perturbation. To keep the satellite in the periodic orbit requires high-frequency or continuous orbit control

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  • A method for autonomous satellite orbit determination based on sliding mode control and neural network
  • A method for autonomous satellite orbit determination based on sliding mode control and neural network
  • A method for autonomous satellite orbit determination based on sliding mode control and neural network

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Embodiment Construction

[0040] The present invention is based on the sliding mode control and neural network satellite mobile autonomous orbit determination method comprising:

[0041] (1) Setting of sliding mode parameters

[0042] C 1 r(k)+C 2 v(k)=0

[0043] define a metric

[0044] where Q=Q T is a weighted matrix, and

[0045] Introduce a variable v(k)=Q 22 -1 Q 21 r(k)+v(k)

[0046] Substitute into the above formula to get the following formula:

[0047]

[0048] where v(k) is the nominal control quantity, and has

[0049] The solution of the above equation is

[0050] where P is the implicit solution of the following matrix equation

[0051]

[0052] Combining the above two equations, we finally solve

[0053]

[0054] (2) Adaptive sliding mode controller design

[0055] The expression of the most critical speed control quantity is as follows:

[0056] Δv(k)=-(CB) -1 {CAx(k)-(I 3 -TK)s(k)+TDsgn[(s(k)]}

[0057] First we have to determine some parameters of th...

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Abstract

The invention discloses a satellite maneuver autonomous orbit determination method based on the sliding mode control and a neural network. With the combination of the sliding mode control and a neural network observer, location information of a satellite is accurately output by using the control quantity of the sliding mode control combined with the observed quantity of the satellite distance, and more accurate orbit determination is achieved. Through the close combination of the sliding mode control and the neural network, the maneuver control can be implemented in real time and the state quantity of the satellite can be displayed, so as to realize the orbit determination of the Langrange satellite.

Description

Technical field: [0001] The invention relates to a satellite mobile autonomous orbit determination method based on sliding mode control and neural network, which belongs to the field of aerospace satellite navigation systems. Background technique: [0002] The combination of sliding mode control and intelligent algorithm control such as adaptive, fuzzy and neural network can improve the performance of the whole system. Sliding mode variable structure has been used to solve more complex problems, such as solving a series of problems such as motion tracking, model tracking, and uncertain system control, and combined with Lyapunov stability theory, ultra-stability theory, and model reference adaptive theory. A development of neural adaptive control is from adopting BP network to adopting other types of neural networks. Such as adaptive control using RBF network, adaptive control using recursive neural network and adaptive control using fuzzy neural network. [0003] As an imp...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 陆陈鑫
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS