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A Fault Estimation Method for Motor System Based on Minimum Conservative Interval Filtering

A technology for fault estimation and system failure, applied in the field of fault estimation, it can solve the problem that estimation results are conservative and cannot be ignored, and achieve the effect of increasing practicability and accuracy, performance supervision and guarantee, and reducing computing power requirements.

Active Publication Date: 2022-02-11
JIANGNAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For the research on interval observers, most of the methods are through coordinate transformation, H ∞ Criteria, etc. to obtain interval estimates, the estimated results are relatively conservative and cannot be ignored

Method used

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  • A Fault Estimation Method for Motor System Based on Minimum Conservative Interval Filtering
  • A Fault Estimation Method for Motor System Based on Minimum Conservative Interval Filtering
  • A Fault Estimation Method for Motor System Based on Minimum Conservative Interval Filtering

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Embodiment 1

[0081] This embodiment provides a motor system fault estimation method based on minimum conservative interval filtering, see figure 1 , the method includes:

[0082] Step 1: Establish a discrete model of the motor system;

[0083] Step 2: According to the discrete model of the motor system, a reconstructed motor model without fault values ​​is obtained;

[0084] Step 3: Design a minimum conservative interval observer, and obtain the observer state estimation interval and observer fault estimation interval of the motor system at time k;

[0085] Step 4: According to the output data obtained under the actual operation of the motor at time k+1 and the observer state estimation interval of the motor system at time k, design the set inverse shrinkage filter problem of the fault; The output data is a vector composed of the actual measured motor angular position, motor speed, and armature current;

[0086] Step 5: Solve the fault set inverse contraction filtering problem, and obta...

Embodiment 2

[0088] This embodiment provides a motor system fault estimation method based on minimum conservative interval filtering, which is applied to a DC servo motor as an example. The method includes:

[0089] Step 1: Obtain the armature current, motor angular position and motor speed when the DC servo motor is running; establish the system model of the DC servo motor;

[0090] Specifically, use the MAX472 current sense amplifier to measure the armature current when the DC servo motor is running, and use the incremental encoder to measure the motor angular position and motor speed at the same time.

[0091] The control computer is connected with the current sensor, encoder and DC servo motor through a dedicated I / O board and power interface, and a system model of the DC servo motor is established:

[0092]

[0093] Among them, u represents the voltage value of the voltage source applied to the DC servo motor, i represents the armature current, v represents the motor speed, θ repre...

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Abstract

The invention discloses a motor system fault estimation method based on minimum conservative interval filtering, and belongs to the technical field of fault estimation. The practicability and accuracy of the method are increased by using fully symmetrical polytopes to represent unknown but bounded noises; the dynamic interval observer is designed according to the reconstructed motor model, and the dynamic interval observer is designed by minimizing the state conservatism of the system Gain, realize the estimation of observer fault interval with minimum conservatism; design fault set inverse contraction filtering problem, use vector Boolean operation and fractal dimension sequential operation to further shrink observer fault estimation interval, and filter fault estimation closer to real fault value Interval; at the same time, the computational complexity of the set inverse contraction filtering problem solution method is significantly smaller than the most widely used solution method; compared with the existing fault estimation method, the application method can estimate a tighter fault interval more efficiently in real time, The performance monitoring of the motor system is guaranteed.

Description

technical field [0001] The invention relates to a motor system fault estimation method based on minimum conservative interval filtering, and belongs to the technical field of fault estimation. Background technique [0002] For increasingly integrated control systems, the occurrence of failures may have a serious impact on production and life. Therefore, the study of system faults has important theoretical and practical significance. Fault estimation is used to reflect the severity of faults and is an important part of fault diagnosis tasks. [0003] Due to various uncertain factors such as noise in the actual operation of the system, it is impossible to obtain an accurate system model or the statistical characteristics of the noise, which leads to inaccurate fault estimation results. The membership filtering method uses intervals, ellipsoids, polytopes and other geometric bodies to describe the uncertain part of the system, which effectively solves this problem. However, ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B23/02G01R31/34
CPCG05B23/0243G01R31/34G05B2219/24065
Inventor 王子赟张梦迪王艳张梓蒙纪志成
Owner JIANGNAN UNIV