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A Momentum Wheel Fault Diagnosis Method Based on Proportional Coefficient Analysis

A technology of proportional coefficient and fault diagnosis, which is applied in the direction of measuring devices, testing of mechanical components, testing of machine/structural components, etc., can solve problems such as inability to realize early warning of minor faults, failure detection of momentum wheel fault detection methods, etc., to achieve Improve the accuracy of fault diagnosis, avoid false alarms, and achieve early warning effects

Active Publication Date: 2018-05-29
HARBIN INST OF TECH +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the problem that the existing momentum wheel fault detection method cannot detect faults effectively and timely, can only diagnose relatively serious faults, and cannot realize early warning of minor faults, and proposes a Momentum Wheel Fault Diagnosis Method Based on Proportional Coefficient Analysis

Method used

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  • A Momentum Wheel Fault Diagnosis Method Based on Proportional Coefficient Analysis
  • A Momentum Wheel Fault Diagnosis Method Based on Proportional Coefficient Analysis
  • A Momentum Wheel Fault Diagnosis Method Based on Proportional Coefficient Analysis

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specific Embodiment approach 1

[0022] Specific implementation mode one: combine figure 2 To illustrate this embodiment, a momentum wheel fault diagnosis method based on proportional coefficient analysis in this embodiment is specifically prepared according to the following steps:

[0023] The momentum wheel usually adopts DC brushless motor, and its time domain equation is:

[0024]

[0025] E(t)=K e Ω(t) (1)

[0026]

[0027] Among them, E(t) is the armature back electromotive force; U(t) is the motor armature voltage; R is the armature resistance; L is the armature inductance; J is the moment of inertia of the motor rotor and flywheel; M(t) is the motor electromagnetic Torque; Ω(t) is flywheel speed; K m is the moment constant; K e is the electric potential constant; M d (t) is the friction torque of the motor shaft; h(t)=JΩ(t) is the angular momentum of the flywheel; i(t) is the motor current; t is time; since the armature inductance L is usually a small amount, it can be ignored , according...

specific Embodiment approach 2

[0054] Specific embodiment two: the difference between this embodiment and specific embodiment one is: in the step 4, the calculation of the mean value and standard deviation is carried out to the proportional coefficient of the N section and recorded as and σ, set the anomaly threshold as The specific process is:

[0055]

[0056]

[0057] Other steps and parameters are the same as those in Embodiment 1.

[0058] Adopt the following examples to verify the beneficial effects of the present invention:

Embodiment 1

[0060] A momentum wheel fault diagnosis method based on proportional coefficient analysis, specifically prepared according to the following steps:

[0061] Step 1. Based on the telemetry data of the motor current, if the motor current value at the nth telemetry moment is the same as the motor current value at the n+1st telemetry moment, it will not be recorded as a segment time. If the nth telemetry moment The motor current value of the motor current value is different from the motor current value of the n+1th telemetry moment, then record the nth telemetry moment as the segmentation time, and obtain the segmentation time of all telemetry data;

[0062] Two adjacent subsections in any order determine a motor current segment at any time, and mark it as j in sequence, assuming that the total number of segments of the motor current is N;

[0063] Step 2. Divide the telemetry voltage data according to the obtained motor current of each segment, and add and average the correspondin...

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Abstract

The invention relates to a proportion coefficient analysis-based momentum wheel fault diagnosis method. The objective of the invention is to solve the problem that an existing momentum wheel fault detection method cannot effectively and timely detect faults, and can only diagnose serious faults, and cannot realize early warning of small faults. The method includes the following steps that: 1, with the telemetry data of motor current adopted as reference, segmentation time points of all telemetry data are obtained; 2, the average control input voltage value of each segment of the motor current is obtained; 3, the proportion coefficient of the average control input voltage value of the j-th segment of the motor current and the value of the motor current is k(j)=U(j) / I(j); 4, an abnormality threshold value is set; and 5, when fault detection is performed on a momentum wheel according to the abnormality threshold value, the telemetry data are processed according to the step 1, step 2 and step 3, so that k' is obtained, if the k' is larger than the abnormality threshold value, it is indicated that a fault occurs. The proportion coefficient analysis-based momentum wheel fault diagnosis method of the invention is applied to the momentum wheel fault diagnosis field.

Description

technical field [0001] The invention relates to a momentum wheel fault diagnosis method based on proportional coefficient analysis. Background technique [0002] Satellites are important spacecraft that operate in the harsh space environment for a long time. As the momentum wheel is an important attitude actuator, abnormal conditions such as performance degradation will inevitably occur. It is necessary to conduct research on fault diagnosis. [0003] Most of the existing momentum wheel fault detection methods only use a single measurement parameter as the diagnosis basis, and carry out fault diagnosis through threshold and continuous monitoring. This method cannot detect faults effectively and timely, and can only diagnose serious faults. faults, and early warning of minor faults cannot be realized. Contents of the invention [0004] The purpose of the present invention is to solve the problem that the existing momentum wheel fault detection method cannot detect faults...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01M13/00
Inventor 王日新王信峰李玉庆王小乐程瑶吴冠徐敏强
Owner HARBIN INST OF TECH
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