A Novel Method for Modeling the Electromagnetic Characteristics of Switched Reluctance Motors

Abstract

Accurate measurement and determination of the electromagnetic characteristics of the switched reluctance motor (SRM) are indispensable to their advanced control and performance analysis. This paper proposes a novel method for modeling the flux-linkage characteristics of SRM. This strategy without rotor locking, includes three steps, namely measuring, estimating and calculating steps. In the first step, flux linkage curves with current at four equilibrium positions are obtained by an indirect measurement method. In the second step, the flux-linkage characteristic of SRM in the middle position is estimated by its two adjacent flux-linkage curves. In the third step, a decoupled analytical model based on the five-order Fourier series is developed to construct the entire flux-linkage characteristics. The proposed method can not only eliminate the requirements on rotor clamping devices or position sensors, but also achieve fast and accurate modeling for the electromagnetic characteristics of SRM. Comparative studies are carried out between the proposed method and the conventional rotor clamping method, and the results demonstrate that the proposed method has a good agreement with the conventional rotor clamping method. Moreover, the simulation model is established in MATLAB/Simulink software based on the entire electromagnetic characteristics calculated by the proposed method. The accuracy of the proposed method is further verified by comparing the simulation and experimental results under different operating modes of the SRM.

A Novel Predictive Torque Controller for Switched Reluctance Motor Drives

“…It can be seen from ( 1)-( 3), it is the key to establish the SRM model to obtain the flux-linkage characteristics accurately. An analytical flux-linkage model presented in Refs [24][25][26] was adopted in this study. The analytical model approximates the flux-linkage in the form of Fourier series and polynomial multiplication, which can be expressed as…”

“…It can be seen from (1)–(3), it is the key to establish the SRM model to obtain the flux‐linkage characteristics accurately. An analytical flux‐linkage model presented in Refs [24–26] was adopted in this study. The analytical model approximates the flux‐linkage in the form of Fourier series and polynomial multiplication, which can be expressed as $$$$ {\psi}_p\left({i}_p,\theta \right)=\sum \limits_{n=0}^N{\lambda}_n\left({i}_p\right)\mathit{\cos}\left({nN}_r\theta \right)\kern1.6em with\kern0.5em {\lambda}_n\left({i}_p\right)=\sum \limits_{m=0}^M{b}_{nm}{i}_p^m $$$$ where N and M are the order of Fourier series and polynomial, respectively.…”