Bearing-less motor suspension winding fault detection method

Abstract

The invention discloses a bearing-less motor suspension winding fault detection method. According to the method, two-phase suspension currents iSalpha and iSbeta acquired through respective sampling are taken as a pixel point of a binary image, and the pixel point is displayed under a static coordinate system; a binary image of a suspension winding having no fault is acquired through sampling, a circle O1 passing the most pixel points is taken from the binary image, and a radius R1 of the circle O1 is solved; the two-phase suspension currents iSalpha and iSbeta are sampled in real time at each time interval to acquire binary images in operation, a locus passing the most pixel points is taken from the binary images, if the locus is an ellipse, a long-axis radius R2 of the ellipse is solved; if the locus is a circle, a radius R2 of the circle is solved. The method is advantaged in that the current is represented in the image, fault-or-not generation conditions and a fault severity degree are determined according to the shape of the image, the method is simple to realize, and the fault can be rapidly and accurately diagnosed and corrected.

Description

technical field [0001] The invention relates to a detection technology of a bearingless motor, in particular to a detection method for a suspension winding fault of a bearingless motor, which is used in the vector control process of a bearingless permanent magnet synchronous motor. Background technique [0002] Bearingless motor (BM) is a new type of magnetic levitation motor that integrates suspension and drive. It is composed of rotor, stator, torque winding, suspension winding, etc. By controlling the current of the suspension winding in the motor, the rotor of the motor can be realized. Stable suspension. If the suspension winding in the motor fails, the rotor will be eccentric and cannot be suspended stably, causing serious damage to the motor. Therefore, in motor applications, the status monitoring of the suspension winding is very important. Most of the failure problems of suspension windings are due to the destruction of the inter-turn insulation layer of the windin...

AI Technical Summary

Problems solved by technology

Among them, when the mathematical model is used to describe the running state of the motor, not only the calculation is complicated, but also the accuracy of the model is high.

However, methods such as neural networks and support vector machines require a large amount of training data and are also very complicated.

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