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A satellite attitude control system health state assessment and prediction method based on a cloud model

A technology for health status, prediction methods, applied in character and pattern recognition, special data processing applications, instruments, etc.

Active Publication Date: 2019-06-14
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

[0006] Therefore, it is necessary to find a solution that can address the above imperfections and combine the advantages of cloud model theory, in order to overcome the incompleteness and incompleteness of traditional probability theory and fuzzy methods in dealing with uncertainties, and improve the reliability of evaluation results , providing a new way of thinking for satellite system health management

Method used

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  • A satellite attitude control system health state assessment and prediction method based on a cloud model
  • A satellite attitude control system health state assessment and prediction method based on a cloud model
  • A satellite attitude control system health state assessment and prediction method based on a cloud model

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Embodiment

[0158] Obtain data through the satellite attitude control digital simulation platform, and carry out research on the health assessment of the satellite attitude control system. The simulation parameters are set in the following table:

[0159] Table 4 Simulation parameter settings

[0160]

[0161] The membership degree values ​​of the five state levels of the health index are calculated for the fiber optic gyroscopes with working hours of 1000d, 2000d and 3000d respectively, and the results are shown in Table 5-7.

[0162] Table 5 Fiber optic gyroscope health indicators corresponding to health level membership (1000d)

[0163]

[0164] The membership degree of the fiber optic gyroscope health index corresponding to the health level constitutes the evaluation matrix R 1 :

[0165]

[0166] Table 6 Fiber optic gyroscope health indicators corresponding to health level membership (2000d)

[0167]

[0168] The membership degree of the fiber optic gyroscope health i...

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Abstract

The invention discloses a satellite attitude control system health state assessment and prediction method based on a cloud model. The method is close to the structure and function of a satellite attitude control system. The method comprises the steps of establishing a satellite attitude control system health assessment index set, then using the historical data and the current data to introduce thecloud model theory to establish a satellite attitude control system health state determination method; obtaining an objective and reasonable comprehensive health state assessment result by combiningthe importance degree weight of each index in the established index set, at the same time, knowing the possible change conditions of the health state of the satellite attitude control system, and carrying out the health state trend prediction research analysis on the basis. According to the present invention, the satellite attitude control system simulation platform is subjected to the short-termand long-term health trend prediction analysis, and an efficient method is provided for the autonomous health management of the satellites.

Description

technical field [0001] The invention belongs to satellite autonomous health management technology, and relates to a method for evaluating the health state of a satellite attitude control system, in particular to a method for evaluating and predicting the health state of a satellite attitude control system based on a cloud model. Background technique [0002] The health status assessment and trend prediction of satellites and their systems is one of the key technologies for on-orbit health management of satellites. Judging based on the current health status of the system can guide the health management system to achieve scientific and effective health management decisions and implementation. It is a powerful tool to improve the safety and reliability of the satellite system, reduce the operating cost of the effective life cycle and the maintenance cost of the whole life cycle, and then ensure the smooth completion of the mission. Satellite telemetry data contains massive amou...

Claims

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Application Information

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IPC IPC(8): G06F17/50G06K9/62
CPCY02A90/10
Inventor 姜斌曲若彤程月华陆宁云江文建
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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