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Switched reluctance motor linkage non-linear modeling method

A technology of switched reluctance motors and modeling methods, applied in field acceleration method control, AC motor control, electrical components, etc., can solve problems such as low precision, large flux linkage data, and difficult division of equivalent magnetic circuits, and achieve construction Simple modeling method, high precision, and good engineering application value

Active Publication Date: 2017-01-18
CHINA UNIV OF MINING & TECH
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Problems solved by technology

The division of the equivalent magnetic circuit in the equivalent magnetic circuit method is difficult and the accuracy of the reluctance calculation depends on assumptions and estimates, the calculation speed is fast, but the accuracy is not high; the same as the equivalent magnetic circuit method, the fast simulation method has a fast calculation speed, But the accuracy is not high; the interpolation iterative method and the intelligent method require more flux linkage data, and the scope of application is not large; the function fitting method is to fit the motor on the basis of the magnetization curve of the switched reluctance motor obtained through electromagnetic numerical calculation or experiment Nonlinear flux linkage characteristics

Method used

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  • Switched reluctance motor linkage non-linear modeling method
  • Switched reluctance motor linkage non-linear modeling method
  • Switched reluctance motor linkage non-linear modeling method

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Embodiment Construction

[0025] An embodiment of the present invention will be further described below in conjunction with the accompanying drawings.

[0026] First, the least squares method is used to fit the flux linkage data to the flux linkage data of four rotor positions (0°, 7.5°, 15° and 22.5°) of the three-phase 12 / 8 structure switched reluctance motor under the same current, and the fitting The formula is

[0027] Ψ n×1 (i n ,θ)=A n×m ×Θ m×1 (1)

[0028] where Ψ n×1 is the flux matrix formed by different rotor positions under the same current, A n×m Determine the coefficient matrix for the least squares method. Θ m×1 It is an m×1 matrix composed of polynomials from order 0 to order m-1 for the rotor position θ. expands to

[0029]

[0030] The coefficient matrix A of the polynomial is obtained, thus completing the fitting of the flux linkage and the position, and the relationship between the flux linkage and the current is also transformed into the relationship between the coeff...

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Abstract

The invention discloses a switched reluctance motor linkage non-linear modeling method and belongs to the switched reluctance motor linkage modeling technology field. According to the method, fitting of the linkage data of a switched reluctance motor at several special positions is carried out through a least squares to acquire a fitting coefficient matrix A, fitting of linkage and positions is accomplished, and a relationship between linkage and currents is converted into a relationship between the fitting coefficient matrix A and the currents; through analyzing the relationship between linkage and the currents, a relationship between elements and the currents of the five-order polynomial fitting coefficient matrix A is employed, an error correction coefficient rp is introduced into a position interval between a smallest induction position and a largest induction position to correct errors of all the currents, and a switched reluctance motor linkage non-linear model is established. Through the method, accuracy of the linkage model is improved, and a good engineering application value is realized.

Description

technical field [0001] The invention relates to a nonlinear modeling method of flux linkage of a switched reluctance motor, which is especially suitable for switched reluctance motors with various phase numbers and structures. Background technique [0002] The switched reluctance motor has the advantages of simple structure, durable, reliable operation, and high energy conversion efficiency. model is more difficult. At present, there are many nonlinear modeling methods, including interpolation iteration method, function fitting method, fast simulation method, equivalent magnetic circuit method and intelligent method. The division of the equivalent magnetic circuit in the equivalent magnetic circuit method is difficult and the accuracy of the reluctance calculation depends on assumptions and estimates, the calculation speed is fast, but the accuracy is not high; the same as the equivalent magnetic circuit method, the fast simulation method has a fast calculation speed, But ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02P25/08H02P25/089H02P23/30G06F17/50
CPCG06F30/20H02P25/08H02P25/089
Inventor 陈昊闫文举孙萌刘征李东暘
Owner CHINA UNIV OF MINING & TECH
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