Modeling and control of a grid-connected BDFM under unbalanced grid voltage conditions

descriptionPublicationkeyboard_double_arrow_right Article , Part of book or chapter of book 01 May 2011 Spain Publisher:IEEEJournal:2011 IEEE International Electric Machines & Drives Conference (IEMDC)

Authors: Sotoodeh, Pedram; Seyedmahdi, Izadkhast; Khosravi, Hamed; Oraee, Hashem;

doi: 10.1109/iemdc.2011.5994609

handle: 11531/5580

Modeling and control of a grid-connected BDFM under unbalanced grid voltage conditions

- Summary
- Subjects
- Metrics

Abstract

This paper presents a mathematical model for Brushless Doubly-Fed Machine (BDFM) based on Stator Flux Orientation (SFO) in positive and negative reference frames under unbalanced grid voltage conditions. A negative controller is designed to eliminate the effects of unbalanced conditions on electrical torque. The model and controller performance during unbalanced conditions is validated by time domain simulation in MATLAB/Simulink.

info:eu-repo/semantics/publishedVersion

Capítulos en libros

Country

Spain

Related Organizations

Kansas State University
United States
Comillas Pontifical University
Spain
Sharif University of Technology
Iran (Islamic Republic of)

Keywords

330, 620, Instituto de Investigación Tecnológica (IIT)

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	3
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average