Two-dimensional magnetic circuit modeling method of single-phase cylindrical linear switched reluctance motor

Abstract

The invention discloses a two-dimensional magnetic circuit modeling method of a single-phase cylindrical linear switched reluctance motor. All calculation formulas of each reluctance component in fivemagnetic circuits combine to form the magnetic circuit model of the single-phase cylindrical linear switched reluctance motor, wherein the five magnetic circuits include the rotor position x wherethe central line of a rotor groove is aligned with that of a stator tooth of the cylindrical linear switched reluctance motor, the rotor position w<4> / 4 where the overlapping part of a rotor tooth and the stator tooth occupies a quarter of the width of the stator tooth, the rotor position w<4> / 2 where the overlapping part of the rotor tooth and the stator tooth occupies a half of the width of thestator tooth, the rotor position 3*w<4> / 4 where the overlapping part of the rotor tooth and the stator tooth occupies three quarters of the width of the stator tooth and the rotor position where thecentral line of the rotor tooth is aligned with that of the stator tooth; it is unnecessary to adopt a motor electromagnetic field finite element method to calculate the magnetic property of the motor, calculation is fast, rapid design, real-time simulation and real-time control of the single-phase cylindrical linear switched reluctance motor system can be achieved, and the method has good engineering application value.

Description

Technical field [0001] The invention relates to a two-dimensional magnetic circuit modeling method of a single-phase cylindrical switched reluctance linear motor, in particular to a two-dimensional magnetic circuit modeling method of a switched reluctance motor. Background technique [0002] The switched reluctance linear motor has the advantages of simple structure, strong fault tolerance, high reliability, and simple control. It can also directly convert electrical energy into mechanical energy for linear motion without an intermediate mechanical conversion mechanism, which improves energy conversion efficiency. The large normal force caused by the inherent structure of the traditional unilateral switched reluctance linear motor causes a large friction force between the mover and the track and shortens the service life of the motor. The double-sided switched reluctance linear motor can alleviate this problem by virtue of its symmetrical stator structure, but as long as there is...

AI Technical Summary

Problems solved by technology

However, due to the double salient pole structure and magnetic saturation characteristics of the cylindrical switched reluctance linear motor, the model is highly nonlinear and the mathematical analysis model is complicated.

At present, the magnetic characteristics of the cylindrical switched reluctance linear motor are mainly calculated by using the motor electromagnetic field finite element method to calculate the magnetization characteristics of the cylindrical switched reluctance linear motor, and the two-dimensional finite element electromagnetic field calculation is difficult to fully reveal the cylindrical switched reluctance linear motor. The magnetic characteristics of the motor often require a three-dimensional finite element electromagnetic field to calculate the magnetization characteristics of a cylindrical switched reluctance linear motor. The calculation time of the finite element electromagnetic field is long and the calculation storage space is large, especially the calculation time of the three-dimensional finite element electromagnetic field is longer. The calculation and storage space occupied is larger, which makes the calculation and analysis cycle of the cylindrical switched reluctance linear motor long, and the magnetization characteristic model of the cylindrical switched reluctance linear motor established by the finite element method is difficult to realize the cylindrical switched reluctance linear motor. Rapid system design, real-time simulation and real-time control

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