Analytical rotor position estimation for SRM based on scaling of reluctance characteristics from torque-balanced measurement

Shoujun Song, Shuo Chen, Weiguo Liu

科研成果: 期刊稿件文章同行评审

23 引用 (Scopus)

摘要

In this paper, a novel analytical method is proposed for rotor position estimation of switched reluctance machine (SRM). The nonlinear reluctance characteristic of the SRM is divided into two parts, namely air gap and iron core, and analyzed in detail from the aspect of magnetic field. According to the inherent features of the reluctance characteristic, it is analytically expressed based on scaling. Two segments are considered, which are expressed as a linear function and a quadratic function, respectively. Then, the analytical expressions of rotor position are derived for each segment. The effectiveness of the proposed analytical estimation method is evaluated with detailed simulations and experiments under different operating conditions. The proposed method is accurate and just requires the reluctance characteristic at four or even two rotor positions, which can be conveniently measured by the torque-balanced method.

源语言英语
文章编号7797507
页(从-至)3524-3536
页数13
期刊IEEE Transactions on Industrial Electronics
64
5
DOI
出版状态已出版 - 5月 2017

指纹

探究 'Analytical rotor position estimation for SRM based on scaling of reluctance characteristics from torque-balanced measurement' 的科研主题。它们共同构成独一无二的指纹。

引用此