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

A method for fault location of acs closed-loop system based on ann

A closed-loop system and fault location technology, which is applied in the general control system, control/regulation system, test/monitoring control system, etc., can solve problems such as difficult distinction between actuator faults and sensor faults

Active Publication Date: 2020-07-28
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The satellite attitude control system is one of the systems with a high failure rate among satellite subsystems. Due to the influence of attitude closed-loop control, it is often difficult to distinguish between actuator failures and sensor failures.

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 method for fault location of acs closed-loop system based on ann
  • A method for fault location of acs closed-loop system based on ann
  • A method for fault location of acs closed-loop system based on ann

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0064] The specific implementation steps of a kind of ANN-based ACS closed-loop system actuator and sensor fault location method according to the present invention are as follows:

[0065] (1) Collect various sensor data during the satellite attitude maneuvering process, including the momentum wheel command signal, the actual speed of the momentum wheel, star sensor output, gyroscope output and other information. will t-T ctrl Time command signal, momentum wheel speed, star sensor output and gyroscope output are combined as input samples, and star sensor output and gyroscope output are combined as output samples at time t to train ANN, where T ctrl for the control cycle.

[0066] (2) Use actual satellite signals to construct ANN input samples, and make a difference between the predicted output of ANN and the actual signal output to obtain the residual. In the data window, the mean value, mean square error and information entropy of the residual are calculated to obtain the d...

Embodiment 2

[0082] The part of this embodiment that is the same as the above-mentioned embodiment and the adoption of the prior art will not be described in detail. In this embodiment, the ACS data of multiple maneuvering processes are collected to train the ANN, and the output of the trained ANN is compared with the actual signal to generate a residual. Draw the original signal and ANN output, and draw the residual separately to get Figure 4 . Such as Figure 4 Shown is the ANN modeling accuracy analysis, from Figure 4 It can be seen from the figure that the predicted output of ANN is completely coincident with the real signal of ACS, but the two are not completely consistent from the residual graph. In the early stage of maneuvering, the error of ANN modeling is relatively large, but it is 2 orders of magnitude smaller than the original signal. The accuracy is ideal.

[0083] There are 3 types of fault settings, as shown in the table below.

[0084] point of failure Fa...

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 an ANN-based ACS closed loop system fault location method. The method locates a satellite actuator fault and a sensor fault based on a neural network. The method comprises the steps that an artificial neural network and a support vector machine system are constructed; ANN is used to carry out modeling on a satellite ACS closed loop system; comparing with an actual satellite signal is carried out to generate residuals; SVM is used to detect the faults based on the mean, mean square error and information entropy of the residuals; and according to the influence of an actuator and a sensor on an attitude control closed loop and the transfer relationship of the faults in the loop, attitude kinematics is combined to locate fault points. According to the invention, on-line fault diagnosis and locating are carried out on the actuator fault and the sensor fault of the satellite ACS closed loop system; and the control efficiency and reliability of fault-tolerant control are improved.

Description

technical field [0001] The invention belongs to fault diagnosis technology related to a satellite attitude control system, relates to an ANN-based ACS closed-loop system fault location method, in particular to an ANN-based ACS closed-loop system actuator and sensor fault location method. Background technique [0002] With the continuous expansion of the aerospace field and the continuous advancement of aerospace technology, the complexity of spacecraft systems continues to increase. As a system with complex structure and functions, spacecraft has a large scale, and its structure and level are much more complicated than ordinary systems. The satellite attitude control system is one of the systems with a high failure rate among satellite subsystems. Due to the influence of the attitude closed-loop control, it is often difficult to distinguish between the failure of the actuator and the failure of the sensor. Therefore, it is urgent to propose a method that can detect and loca...

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): G05B23/02B64G1/24
CPCB64G1/24G05B23/0205G05B23/0243
Inventor 程月华叶正宇姜斌陆宁云马亚杰江文建薛琪
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