Model reference adaptive back-EMF estimations for sensorless control of grid-connected doubly-fed induction generators

Lin Yu Lu; Chia Chi Chu; Tzu Wei Yeh

doi:10.1109/IAS.2016.7731839

Model reference adaptive back-EMF estimations for sensorless control of grid-connected doubly-fed induction generators

Lin Yu Lu
, Chia Chi Chu
, Tzu Wei Yeh

National Tsing Hua University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

A back-EMF model reference adaptive system (MRAS)-based sensorless control scheme is proposed for a grid-connected doubly-fed induction generator (DFIG). Based on the stator-side and the rotor-side dynamic models of the DFIG, both the reference model and the adaptive model of the proposed back-EMF-based DFIG are investigated. The adaptation mechanism of the proposed controller and the stability of the closed-loop system are derived by Popov's criterion. Real-time simulation studies are performed with detailed dynamics including PWM synthesis. A 2.2 kW DFIG experimental platform is constructed to validate the proposed method by hardware experiments. Both results indicate that proper speed estimations can be achieved by the proposed method and will not be affected by small variations either in the rotor speed or in the output power of the DFIG.

Original language	English
Title of host publication	IEEE Industry Application Society, 52nd Annual Meeting
Subtitle of host publication	IAS 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467386715
DOIs	https://doi.org/10.1109/IAS.2016.7731839
State	Published - 02 11 2016
Externally published	Yes
Event	52nd Annual Meeting on IEEE Industry Application Society, IAS 2016 - Portland, United States Duration: 02 10 2016 → 06 10 2016

Publication series

Name	IEEE Industry Application Society, 52nd Annual Meeting: IAS 2016

Conference

Conference	52nd Annual Meeting on IEEE Industry Application Society, IAS 2016
Country/Territory	United States
City	Portland
Period	02/10/16 → 06/10/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

Back-EMF
Doubly-Fed Induction Generator (DFIG)
Model Reference Adaptive System (MRAS)
Popov's Criterion
Real-time Simulations
Sensorless Control
xPC

Access to Document

10.1109/IAS.2016.7731839

Cite this

Lu, L. Y., Chu, C. C., & Yeh, T. W. (2016). Model reference adaptive back-EMF estimations for sensorless control of grid-connected doubly-fed induction generators. In IEEE Industry Application Society, 52nd Annual Meeting: IAS 2016 Article 7731839 (IEEE Industry Application Society, 52nd Annual Meeting: IAS 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IAS.2016.7731839

@inproceedings{4a1365026452467796c2673bc6553e57,

title = "Model reference adaptive back-EMF estimations for sensorless control of grid-connected doubly-fed induction generators",

abstract = "A back-EMF model reference adaptive system (MRAS)-based sensorless control scheme is proposed for a grid-connected doubly-fed induction generator (DFIG). Based on the stator-side and the rotor-side dynamic models of the DFIG, both the reference model and the adaptive model of the proposed back-EMF-based DFIG are investigated. The adaptation mechanism of the proposed controller and the stability of the closed-loop system are derived by Popov's criterion. Real-time simulation studies are performed with detailed dynamics including PWM synthesis. A 2.2 kW DFIG experimental platform is constructed to validate the proposed method by hardware experiments. Both results indicate that proper speed estimations can be achieved by the proposed method and will not be affected by small variations either in the rotor speed or in the output power of the DFIG.",

keywords = "Back-EMF, Doubly-Fed Induction Generator (DFIG), Model Reference Adaptive System (MRAS), Popov's Criterion, Real-time Simulations, Sensorless Control, xPC",

author = "Lu, \{Lin Yu\} and Chu, \{Chia Chi\} and Yeh, \{Tzu Wei\}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 52nd Annual Meeting on IEEE Industry Application Society, IAS 2016 ; Conference date: 02-10-2016 Through 06-10-2016",

year = "2016",

month = nov,

day = "2",

doi = "10.1109/IAS.2016.7731839",

language = "英语",

series = "IEEE Industry Application Society, 52nd Annual Meeting: IAS 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Lu, LY, Chu, CC & Yeh, TW 2016, Model reference adaptive back-EMF estimations for sensorless control of grid-connected doubly-fed induction generators. in IEEE Industry Application Society, 52nd Annual Meeting: IAS 2016., 7731839, IEEE Industry Application Society, 52nd Annual Meeting: IAS 2016, Institute of Electrical and Electronics Engineers Inc., 52nd Annual Meeting on IEEE Industry Application Society, IAS 2016, Portland, United States, 02/10/16. https://doi.org/10.1109/IAS.2016.7731839

Model reference adaptive back-EMF estimations for sensorless control of grid-connected doubly-fed induction generators. / Lu, Lin Yu; Chu, Chia Chi; Yeh, Tzu Wei.
IEEE Industry Application Society, 52nd Annual Meeting: IAS 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7731839 (IEEE Industry Application Society, 52nd Annual Meeting: IAS 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Model reference adaptive back-EMF estimations for sensorless control of grid-connected doubly-fed induction generators

AU - Lu, Lin Yu

AU - Chu, Chia Chi

AU - Yeh, Tzu Wei

PY - 2016/11/2

Y1 - 2016/11/2

N2 - A back-EMF model reference adaptive system (MRAS)-based sensorless control scheme is proposed for a grid-connected doubly-fed induction generator (DFIG). Based on the stator-side and the rotor-side dynamic models of the DFIG, both the reference model and the adaptive model of the proposed back-EMF-based DFIG are investigated. The adaptation mechanism of the proposed controller and the stability of the closed-loop system are derived by Popov's criterion. Real-time simulation studies are performed with detailed dynamics including PWM synthesis. A 2.2 kW DFIG experimental platform is constructed to validate the proposed method by hardware experiments. Both results indicate that proper speed estimations can be achieved by the proposed method and will not be affected by small variations either in the rotor speed or in the output power of the DFIG.

AB - A back-EMF model reference adaptive system (MRAS)-based sensorless control scheme is proposed for a grid-connected doubly-fed induction generator (DFIG). Based on the stator-side and the rotor-side dynamic models of the DFIG, both the reference model and the adaptive model of the proposed back-EMF-based DFIG are investigated. The adaptation mechanism of the proposed controller and the stability of the closed-loop system are derived by Popov's criterion. Real-time simulation studies are performed with detailed dynamics including PWM synthesis. A 2.2 kW DFIG experimental platform is constructed to validate the proposed method by hardware experiments. Both results indicate that proper speed estimations can be achieved by the proposed method and will not be affected by small variations either in the rotor speed or in the output power of the DFIG.

KW - Back-EMF

KW - Doubly-Fed Induction Generator (DFIG)

KW - Model Reference Adaptive System (MRAS)

KW - Popov's Criterion

KW - Real-time Simulations

KW - Sensorless Control

KW - xPC

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U2 - 10.1109/IAS.2016.7731839

DO - 10.1109/IAS.2016.7731839

M3 - 会议稿件

AN - SCOPUS:85002180256

T3 - IEEE Industry Application Society, 52nd Annual Meeting: IAS 2016

BT - IEEE Industry Application Society, 52nd Annual Meeting

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 52nd Annual Meeting on IEEE Industry Application Society, IAS 2016

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ER -

Lu LY, Chu CC, Yeh TW. Model reference adaptive back-EMF estimations for sensorless control of grid-connected doubly-fed induction generators. In IEEE Industry Application Society, 52nd Annual Meeting: IAS 2016. Institute of Electrical and Electronics Engineers Inc. 2016. 7731839. (IEEE Industry Application Society, 52nd Annual Meeting: IAS 2016). doi: 10.1109/IAS.2016.7731839

Model reference adaptive back-EMF estimations for sensorless control of grid-connected doubly-fed induction generators

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