Modeling and Optimization of Brushless Doubly-Fed Induction Machines Using Computationally Efficient Finite-Element Analysis

Xuezhou Wang, Tim Strous, Domenico Lahaye, Henk Polinder, Bram Ferreira

Research output: Contribution to journalArticleScientificpeer-review

19 Citations (Scopus)

Abstract

The air-gap magnetic fields of brushless doubly fed induction machines (DFIMs) are complicated because of the crosscoupling between two stator fields via a special nested-loop rotor. Comparedwith classical analyticalmodels, transient finite-element (FE) modeling is easier to evaluate the machine performance taking saturation into account. However, it is not efficient to evaluate lots of candidates in a large design space using transient FE models considering the time cost. In the transient simulation, the induced rotor currents are calculated by solving several time differential equations using the backward differentiation formula. This paper presents a computationally efficient FE analysis for brushless DFIMs. The induced rotor currents can be calculated using a single magnetostatic FE simulation. The average torque, losses, and efficiency can also be predicted using one magnetostatic solution. One candidate design can be evaluated within 1 or 2 min on a personal workstation. The efficient analysis is validated by the transient FE results. The presented model is applied to the optimization of a prototype. The influence of two construction variables, namely, polepair combinations and the number of loops per nest, is studied. One pole-pair combination is selected for manufacturing a prototype.
Original languageEnglish
Pages (from-to)4525-4534
Number of pages10
JournalIEEE Transactions on Industry Applications
Volume52
Issue number6
DOIs
Publication statusPublished - Nov 2016

Keywords

  • space–time relationship
  • Brushless
  • cross coupling
  • doubly fed induction machine (DFIM)
  • finite element modeling (FEM)
  • magnetostatic simulation
  • nested-loop rotor

Fingerprint

Dive into the research topics of 'Modeling and Optimization of Brushless Doubly-Fed Induction Machines Using Computationally Efficient Finite-Element Analysis'. Together they form a unique fingerprint.

Cite this