A pmsm permanent magnet demagnetization fault diagnosis and fault pattern recognition method

Abstract

The invention discloses a demagnetization fault diagnosis and fault mode identification method for a PMSM permanent magnet. On the basis of a algebraic method, on-line identification of PMSM electromagnetic parameters including a permanent magnet flux linkage is realized and a permanent magnet flux linkage identification result is used as a basis of a qualitative diagnosis of a permanent magnet demagnetization fault; with introduction of Hilbert-Huang transform, a weak fault feature signal for representing local demagnetization of a permanent magnet is extracted, thereby realizing a local demagnetization fault diagnosis of a PMSM permanent magnet; and on the basis of combination with the algebraic-method-based qualitative diagnosis of the demagnetization fault of the PMSM permanent magnet, identification of uniform demagnetization and local demagnetization fault modes of the PMSM permanent magnet is realized on stable and non-stable system operation conditions. Therefore, an integration solution can be provided for demagnetization fault diagnosis and fault mode identification of the PMSM permanent magnet; and the effectiveness and reliability are high.

Description

technical field [0001] The present invention relates to the technical field of permanent magnet synchronous motors, in particular to a PMSM permanent magnet demagnetization fault diagnosis and fault pattern recognition method, based on algebraic method and Hilbert-Huang transform to realize PMSM (permanent magnet motor) under stable and non-stationary system operating conditions Synchronous motor) online diagnosis of permanent magnet demagnetization fault and online identification of fault mode. Background technique [0002] Permanent magnet synchronous motor (PMSM) has technical advantages such as simple structure, low failure rate and high operating efficiency, and has gradually been widely used in industrial servo drives, new energy vehicles and new energy power generation. However, for many application fields such as electric vehicles, due to the limitation of installation space, PMSM has high power density, poor heat dissipation conditions, and complex operating conditi...

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Problems solved by technology

Therefore, this type of method is only suitable for the diagnosis of partial demagnetization faults of permanent magnets, not for the diagnosis of uniform demagnetization faults;

[0009] (2) The model-driven PMSM permanent magnet demagnetization fault diagnosis method is easily affected by one or more factors such as measurement noise, motor parameter changes, identification model lack of rank, and the adaptive rate to ensure simultaneous convergence of multiple parameters is difficult to determine reasonably. In the application, it is difficult to realize the accurate identification of the permanent magnet flux linkage and the reasonable balance of identification accuracy and identification speed;

[0010] (3) The PMSM permanent magnet demagnetization fault diagnosis method based on high-frequency signal injection uses the state change of the magnetic circuit before and after the permanent magnet demagnetization as the basis for fault diagnosis, and is applicable to the diagnosis and fault mode of the partial demagnetization and uniform demagnetization faults of the permanent magnet. identification, but this solution needs to superimpose high-frequency currents that vary with the degree of demagnetization, and can only be realized when the motor is at rest, and online diagnosis of demagnetization faults cannot be realized

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