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

A fault detection method for satellite actuators based on migration component analysis

A technology of fault detection and component analysis, applied in neural learning methods, instruments, simulators, etc., can solve problems such as inapplicability, achieve the effects of reducing distribution distance, improving reliability and ground monitoring capabilities

Active Publication Date: 2022-02-15
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Conventional data-driven satellite actuator fault detection requires a large number of fault samples, but the actual satellite does not have fault samples with labels, so it is not applicable. It is urgent to propose a method that does not depend on the fault samples of the actual satellite and can realize satellite execution. fault detection of the controller, improve the reliability of the attitude control subsystem, and ensure the reliable execution of satellite missions

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 fault detection method for satellite actuators based on migration component analysis
  • A fault detection method for satellite actuators based on migration component analysis
  • A fault detection method for satellite actuators based on migration component analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0029] This application discloses a satellite actuator fault detection method based on migration component analysis, the method includes:

[0030] Step 1. The actual satellite attitude control system of the satellite is used as the target domain system, and the nominal simulation model of the actual satellite attitude control system is constructed as the source domain system.

[0031] Step 2, training the source domain neural network model ANN based on the normal sample data of the source domain system s , adjust the source domain neural network model ANN based on the normal sample data of the target domain system s Get the target domain neural network model ANN t , the sample data is the actuator signal data. Please refer to figure 1 The flowchart shown.

[0032] In this application, the actuator signal data includes the t-T of the cor...

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 satellite actuator fault detection method based on migration component analysis, and relates to the field of satellite attitude control system fault detection. The method obtains a source domain neural network model based on normal sample data training of the source domain system, and utilizes the target domain system The normal sample data adjusts the network parameters to obtain the neural network model of the target domain, and uses the network model to obtain the residual data of the source domain and the target domain. The distribution distance enables the classifier trained by the source domain data features to be used for the diagnosis of actual satellite data samples. This method is aimed at the situation of satellites without fault samples, using the nominal model simulation data and the migration component analysis method to realize the fault detection of satellite flywheels , improving the reliability of the satellite attitude control system and ground monitoring capabilities.

Description

technical field [0001] The invention relates to the field of fault detection of satellite attitude control systems, in particular to a fault detection method for satellite actuators based on migration component analysis. Background technique [0002] With the continuous development of aerospace technology, the complexity of space missions continues to increase. The spacecraft attitude control system is one of the most important subsystems of the spacecraft, so it is of great significance to study its fault detection method. The flywheel is one of the most commonly used actuators in spacecraft, and its reliability is an important condition to ensure the normal operation of satellites. Conventional data-driven satellite actuator fault detection requires a large number of fault samples, but the actual satellite does not have fault samples with labels, so it is not applicable. It is urgent to propose a method that does not depend on the fault samples of the actual satellite and...

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): G06K9/00G06K9/62G06N3/04G06N3/08G05B17/02
CPCG06N3/08G05B17/02G06N3/045G06N3/047G06F2218/08G06F2218/12G06F18/2135G06F18/241G06F18/2415
Inventor 程月华何漫丽姜斌王泽
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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