Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A Data-Driven Method for Spacecraft Orbit Determination

A data-driven, method-determining technology, applied in complex mathematical operations, design optimization/simulation, probabilistic CAD, etc., can solve problems such as analytical model description, inability to make full use of big data, and complex high-precision dynamic models

Active Publication Date: 2022-03-15
PLA PEOPLES LIBERATION ARMY OF CHINA STRATEGIC SUPPORT FORCE AEROSPACE ENG UNIV
View PDF11 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional method has high stability and maturity for dealing with the problem of orbit determination with a small amount of data. However, with the increasing frequency of space launch missions, the number of various spacecraft in space has increased significantly. When faced with massive observation data, traditional orbit determination Algorithms cannot make full use of the advantages of big data and dig deep into the relationship between data, and high-precision dynamic models are often complex and difficult to describe with analytical models

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A Data-Driven Method for Spacecraft Orbit Determination
  • A Data-Driven Method for Spacecraft Orbit Determination
  • A Data-Driven Method for Spacecraft Orbit Determination

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0067] Embodiment 1 of the present invention provides a data-driven spacecraft orbit determination method, which is different from the traditional orbit determination method. It is not necessary to establish the observation equation and dynamic equation of the spacecraft from the station, but from the perspective of data-driven, First construct a weighted sample set for orbit determination, then use the distribution regression theory in machine learning, use the elastic network as the loss function, and learn the mapping relationship from the measurement data to the target orbit through the samples, so as to realize the orbit determination of the spacecraft, including:

[0068] Step 1: Orbit determination sample set Z={X, Y} composed of measurement data set X and corresponding target spacecraft orbit set Y, and weight the measurement data to construct orbit determination weighted sample set;

[0069] Step 2: Calculate the Gram matrix of the constructed orbit determination weigh...

Embodiment 2

[0104] Embodiment two: a specific embodiment:

[0105] Measurement datasets are noise-free

[0106] Taking space-based spacecraft orbit determination that only measures angles as an example, simulate the orbit determination scenario of a low-orbit observation platform for a high-orbit spacecraft, and construct a weighted orbit determination sample set through error-free simulation data Among them, a total of 800 sets of simulation data, each set of data, x i The number of samples is 50, the interval is 10 seconds, and the x i,n In , there are 5-dimensional data including right ascension, declination and the position vector of the space-based observation platform. Using the method of cross-validation, 160 groups are randomly selected from 800 groups of data as the verification set, 80 groups are used as the test set, and the remaining 560 groups are used as the training set.

[0107] In the selection of the weight coefficient matrix, different groups of weight coefficients ...

Embodiment 3

[0115] Embodiment three: another specific embodiment:

[0116] The measurement data set is noisy

[0117] In order to reflect the real orbit determination situation, in this embodiment, the variance of (2″) is added to the angle measurement data and the platform position vector respectively. 2 、(0.1km) 2 Gaussian white noise, and keep other implementation steps consistent with Example 1, the results obtained are as follows Figure 7 ~ Figure 12 shown in . The detailed comparison results for noise-free and noise-containing are shown in Table 1:

[0118] Table 1 RMSE comparison of orbit determination results without noise and with noise

[0119]

[0120]

[0121] It can be seen that the effect of adding noise on the orbit determination result is not significant, which is consistent with the results shown in the attached figure.

[0122] In order to reflect this advantage, the Laplace method is introduced as the traditional orbit determination method for comparison, an...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a data-driven weighted orbit determination method for spacecraft, which includes: an orbit determination sample set Z={X,Y} composed of a measurement data set X and a corresponding target spacecraft orbit set Y, and the measurement Data weighting, constructing a weighted sample set for orbit determination; calculating the Gram matrix of the weighted sample set for orbit determination, using the elastic network as a loss function, and calculating the optimal estimated value of the spacecraft orbit determination result y(t) based on the Gram matrix. The present invention does not need to construct The complex dynamic model introduces the idea of ​​machine learning, and by learning a large number of labeled nominal orbits, the orbit of unknown spacecraft can be estimated; in addition, the training data and test data have the same noise characteristics , taking this sample data as training data can reduce the sensitivity of orbit determination results to measurement noise, and has broad application prospects.

Description

technical field [0001] The invention relates to a method for determining a spacecraft orbit, that is, a data-driven method for determining a spacecraft orbit, belonging to the field of spacecraft orbit dynamics. Background technique [0002] Spacecraft orbit determination is a fundamental issue in the field of spacecraft on-orbit measurement and control and space situational awareness, and has a wide range of application backgrounds. The so-called spacecraft orbit determination is to determine the orbital elements of the target based on the observation data of the unknown spacecraft (target) by ground-based or space-based observation equipment. The types of observation data include angle measurement (right ascension, declination), distance measurement, etc. information. The traditional orbit determination method needs to establish two models: one is the observation model describing the relative positional relationship between the spacecraft and the observation equipment, an...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/27G06F17/18G06F111/08G06F119/10
CPCG06F17/18G06F30/20
Inventor 冯飞张雅声李智李恒年方宇强黄秋实陶雪峰卢旺霍俞蓉李纪莲汤亚锋刁华飞
Owner PLA PEOPLES LIBERATION ARMY OF CHINA STRATEGIC SUPPORT FORCE AEROSPACE ENG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com