Research Article
Doubly Fed Induction Generator Wind Turbine Control Based on a Novel MRAS Observer
@INPROCEEDINGS{10.4108/eai.24-4-2019.2284107, author={Oluwaseun Simon Adekanle and M'hammed Guisser and Elhassane Abdelmounim and Mohamed Aboulfatah and Hicham Bahri and Adeola Balogun}, title={Doubly Fed Induction Generator Wind Turbine Control Based on a Novel MRAS Observer}, proceedings={Proceedings of the Third International Conference on Computing and Wireless Communication Systems, ICCWCS 2019, April 24-25, 2019, Faculty of Sciences, Ibn Tofa\~{n}l University -K\^{e}nitra- Morocco}, publisher={EAI}, proceedings_a={ICCWCS}, year={2019}, month={5}, keywords={adrs integral backstepping control dfig control mras fuzzy logic mppt extended state observer crowbar dc-chopper}, doi={10.4108/eai.24-4-2019.2284107} }- Oluwaseun Simon Adekanle
M'hammed Guisser
Elhassane Abdelmounim
Mohamed Aboulfatah
Hicham Bahri
Adeola Balogun
Year: 2019
Doubly Fed Induction Generator Wind Turbine Control Based on a Novel MRAS Observer
ICCWCS
EAI
DOI: 10.4108/eai.24-4-2019.2284107
Abstract
This paper proposes a novel Doubly Fed Induction Generator (DFIG) control approach using an optimized set of observers. Firstly, an Adaptive Disturbance Rejection Scheme (ADRS) Model Reference Adaptive System (MRAS) observer is applied to estimate generator speed. Secondly, a Fuzzy Logic MPPT controller is designed to optimized power conversion. Finally to achieve the overall sensor-less control, speed, current and DC-voltage control are achieved using a novel version of perturbation observer while taking into account the power loss in the system. The technique is evaluated for a 1.5MW DFIG under variable wind speed, measurement noise, grid voltage dip and parameter variation and compared with the conventional PI-controller.