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

Shoujun Song, Shuo Chen, Weiguo Liu

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

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.

Original languageEnglish
Article number7797507
Pages (from-to)3524-3536
Number of pages13
JournalIEEE Transactions on Industrial Electronics
Volume64
Issue number5
DOIs
StatePublished - May 2017

Keywords

  • Analytical calculation
  • Reluctance characteristic
  • Rotor position
  • Scaling
  • Switched reluctance machine (SRM)
  • Torque-balanced method

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