Generalized SVM technique for multiphase current source inverters

Sherif M. Dabour, M.F. Elmorshedy, Essam M. Rashad

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

This paper introduces a generalized Space-Vector-Modulation (SVM) technique for n-phase Current-Source-Inverters(CSIs), where n is an odd number. Generally, for an n-phase CSI there are n 2 possible switching-states. Each state generates an output current space-vector. The resulted vectors are n(n - 1)active with (n - 1)/2 levels and n zero-vectors. These vectors are mapped in (n- 1)/2 subspace planes. Each plane is divided into 2n sectors with (n - 1)active- and n zero-vectors. The first-plane is called the fundamental-plane orαβ, while the others are called auxiliary-planes which are labeled by x 1 y 1 ·x 2 y 2 ··· etc. Two SVM methods are proposed based on the selected vectors. Moreover, generalized equations to determine the dwelling-times in both methods are proposed based on the ampere-second balance concept. In order to check the validity of the generalized-technique a case study for five-phase CSI fed an inductive-load is presented. A sample of simulation results is obtained to confirm the presented technique effectiveness.

Original languageEnglish
Title of host publication2017 20th International Conference on Electrical Machines and Systems (ICEMS 2017)
PublisherIEEE
Number of pages6
ISBN (Electronic)9781538632468
ISBN (Print)9781538632475
DOIs
Publication statusPublished - 5 Oct 2017
Event2017 20th International Conference on Electrical Machines and Systems (ICEMS) - Sydney, Australia
Duration: 11 Aug 201714 Aug 2017

Conference

Conference2017 20th International Conference on Electrical Machines and Systems (ICEMS)
Country/TerritoryAustralia
CitySydney
Period11/08/1714/08/17

Keywords

  • space width modulation
  • multiphase
  • current source inverter
  • pulse width modulation

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Control and Optimization

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