ANFIS Wind Speed Estimator-Based Output Feedback Near-Optimal MPPT Control for PMSG Wind Turbine

Author:

Phan Nhat Minh-Le,Tung Duong-Nguyen,Thanh Tung-Nguyen,Vu Nga Thi-ThuyORCID

Funder

MOET-VN

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications,Energy Engineering and Power Technology,Control and Systems Engineering

Reference41 articles.

1. Abdullah, M. A., Yatim, A. H. M., Tan, C. W., & Saidur, R. (2009). A review of maximum power point tracking algorithms for wind energy systems. Renewable and Sustainable Energy Reviews, 24(3), 705–713.

2. Ananth, D. V., & Kumar, G. V. N. (2016). Tip speed ratio based MPPT algorithm and improved field-oriented control for extracting optimal real power and independent reactive power control for grid connected doubly fed induction generator. International Journal of Electrical and Computer Engineering, 6, 1319–1331.

3. Asghar, A. B., & Liu, X. (2018). Adaptive neuro-fuzzy algorithm to estimate effective wind speed and optimal rotor speed for variable-speed wind turbine. Neurocomputing, 179, 1291–1315.

4. Barakati, S. M., Kazerani, M., & Aplevich, J. D. (2009). Maximum power tracking control for a wind turbine system including a matrix converter. IEEE Transactions on Energy Conversion, 24(3), 705–713.

5. Bishop, C. M. (1997). Neural networks for pattern recognition. Oxford: Claredon Press.

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