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An online diagnosis method for inverter open circuit fault in pmsm drive system

A driving system, open circuit fault technology, applied in the direction of instruments, measuring electrical variables, continuity testing, etc., can solve similar problems, achieve the effect of not affecting the design, reducing misdiagnosis, reliable and efficient data acquisition strategy

Active Publication Date: 2021-10-22
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

On the other hand, the data currently used for learning is usually directly obtained by signal sampling, and there are still similar problems in the method based on voltage and current signals

Method used

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  • An online diagnosis method for inverter open circuit fault in pmsm drive system
  • An online diagnosis method for inverter open circuit fault in pmsm drive system
  • An online diagnosis method for inverter open circuit fault in pmsm drive system

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Embodiment Construction

[0041] Now in conjunction with embodiment, accompanying drawing, the present invention will be further described:

[0042] Such as figure 1 As shown, the PMSM drive system inverter open circuit fault diagnosis method in the present invention. The specific implementation is as follows:

[0043] Step 1: Use the state observer to estimate the PMSM three-phase current to obtain the observed value of the three-phase current, and make a difference between the observed current value and the actual value of the three-phase current in the system feedback to obtain the observation residual of the three-phase current.

[0044] The observer used to track the PMSM three-phase current is a Lomberg observer, and the expression is:

[0045]

[0046] in, u(t)=(u d ,u q ) T , y(t)=(i d ,i q ) T , K is the feedback coefficient matrix, and A, B, C are the coefficient matrices in the PMSM state equation.

[0047] Such as figure 2 Shown is the change of the three-phase current resid...

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Abstract

The invention relates to an online diagnosis method for inverter open-circuit faults in a PMSM drive system, which can perform online fault diagnosis and location for various inverter open-circuit faults. Introduce the Lönberg observer to track the PMSM three-phase current, so as to obtain the residual error of the three-phase current observation as the basis for fault diagnosis; design a sampling strategy to obtain the original sample set for training; in the offline training, first introduce the principal component analysis method The original sample set is preprocessed to obtain a data dimensionality reduction model, and then the classification model is obtained by training the support vector machine; finally, the dimensionality reduction model and classification model are run in the drive system to realize online diagnosis and location of faults. The invention does not increase hardware equipment, does not affect drive control, and is not affected by load and model parameter changes, and through machine learning of actual working conditions, does not rely on manually set diagnosis basis, reducing the possibility of misdiagnosis.

Description

technical field [0001] The invention belongs to the field of PMSM drive system fault diagnosis, and relates to an online diagnosis method for an open circuit fault of an inverter of a PMSM drive system, in particular to an online diagnosis method for an open circuit fault of an inverter of a PMSM drive system based on an observer and machine learning. Background technique [0002] In the field of modern industrial production and national defense industry, permanent magnet synchronous motors have been widely used due to their advantages of fast response, high power density and high efficiency. As its application becomes more and more extensive, higher requirements are put forward for the reliability of the permanent magnet synchronous motor drive system in practical applications. In the permanent magnet synchronous motor drive system, the inverter includes power electronic devices and its drive circuit. It is the link that combines digital control and power output most closel...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/54G01R31/56
Inventor 骆光照张泽良陶雪成陈寿洛
Owner NORTHWESTERN POLYTECHNICAL UNIV
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