Soft measurement method for magnetic flux linkage of bearingless permanent magnet synchronous motor

Abstract

The invention discloses a weighted least square support vector machine-based soft measurement method for magnetic flux linkage of a bearingless permanent magnet synchronous motor. The method comprises the following steps of: selecting a rotor position angle, torque winding current, levitation force winding current and rotor eccentric displacement of the bearingless permanent magnet synchronous motor as four input variables of a bearingless permanent magnet synchronous motor magnetic flux linkage soft measurement model, wherein the magnetic flux linkage y is taken as an input variable; acquiring representative input variable sample data and output variable sample data, performing normalization preprocessing on both the output variable and the input variables, and forming a modeling sample set for corresponding normalized values; performing residual analysis on the modeling sample set to acquire each sample weight; training the modeling sample set and establishing a bearingless permanent magnet synchronous motor magnetic flux linkage correlation model by using a weighted least square support vector machine; and finally abnormalizing an sy value to acquire the magnetic flux linkage y. Thus, the magnetic flux linkage value of the bearingless permanent magnet synchronous motor is predicted and controlled on line in real time.

Description

technical field [0001] The invention belongs to the cross field of electric power transmission and information science, and is a soft measurement method for the flux linkage of a bearingless permanent magnet synchronous motor based on a weighted least square support vector machine (Weighted Least Square Support Vector Machine, WLS-SVM). The real-time online control of the torque and radial levitation force of the bearingless permanent magnet synchronous motor creates conditions, which is suitable for the high performance control of the bearingless permanent magnet synchronous motor. Background technique [0002] The bearingless permanent magnet synchronous motor not only has the advantages of small volume, light weight, high efficiency, high power factor, and good control characteristics of the permanent magnet synchronous motor servo system, but also has the advantages of no friction, no wear, no lubrication, high speed and High precision and other advantages make it have b...

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Problems solved by technology

[0006] In view of the highly nonlinear and difficult-to-measure characteristics of the flux linkage in the current bearingless permanent magnet synchronous motor, it is very important to solve the problem of stable suspension operation of the bearingless permanent magnet synchronous motor However, it is difficult to directly use physical sensors to measure the flux linkage variable in real-time online or the real-time measurement cost is very high. Therefore, a soft measurement method for the flux linkage of the bearingless permanent magnet synchronous motor based on the weighted least squares support vector machine is provided. Any modification to the bearingless permanent magnet synchronous motor system can realize real-time, online and accurate predictive control of flux linkage

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