LAPSE:2023.31169
Published Article

LAPSE:2023.31169
An SMC-MRAS Speed Estimator for Sensor-Less Control of DFIG Systems in Wind Turbine Applications
April 18, 2023
Abstract
A sliding mode control-based model reference adaptive system (SMC-MRAS) estimator for sensor-less control of doubly fed induction generator (DFIG) systems in wind turbine applications is proposed in this paper. The proposed SMC-MRAS estimator uses the rotor current as a variable of interest. The proposed SMC-MRAS estimator has the advantage of being immune to machine parameter variations. The SMC parameters are designed using the Lyapunov stability criteria. The performance of the proposed SMC-MRAS estimator is validated using simulations in MATLAB/SIMULINK. A comparative study between the proposed SMC-MRAS estimator and the PI-MRAS estimator is also conducted to demonstrate the superiority of the proposed SMC-MRAS estimator.
A sliding mode control-based model reference adaptive system (SMC-MRAS) estimator for sensor-less control of doubly fed induction generator (DFIG) systems in wind turbine applications is proposed in this paper. The proposed SMC-MRAS estimator uses the rotor current as a variable of interest. The proposed SMC-MRAS estimator has the advantage of being immune to machine parameter variations. The SMC parameters are designed using the Lyapunov stability criteria. The performance of the proposed SMC-MRAS estimator is validated using simulations in MATLAB/SIMULINK. A comparative study between the proposed SMC-MRAS estimator and the PI-MRAS estimator is also conducted to demonstrate the superiority of the proposed SMC-MRAS estimator.
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Keywords
doubly fed induction generators, field-oriented control, model reference adaptive systems, sliding mode control, speed sensor-less control
Subject
Suggested Citation
Mbukani MWK, Gitau MN, Naidoo R. An SMC-MRAS Speed Estimator for Sensor-Less Control of DFIG Systems in Wind Turbine Applications. (2023). LAPSE:2023.31169
Author Affiliations
Mbukani MWK: Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria 0002, South Africa [ORCID]
Gitau MN: Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria 0002, South Africa [ORCID]
Naidoo R: Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria 0002, South Africa [ORCID]
Gitau MN: Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria 0002, South Africa [ORCID]
Naidoo R: Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria 0002, South Africa [ORCID]
Journal Name
Energies
Volume
16
Issue
6
First Page
2633
Year
2023
Publication Date
2023-03-10
ISSN
1996-1073
Version Comments
Original Submission
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PII: en16062633, Publication Type: Journal Article
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LAPSE:2023.31169
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https://doi.org/10.3390/en16062633
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Apr 18, 2023
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