A sensorless control for a variable speed wind turbine operating at partial load
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DOI: 10.1016/j.renene.2010.06.008
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Cited by:
- Petković, Dalibor & Ćojbašič, Žarko & Nikolić, Vlastimir, 2013. "Adaptive neuro-fuzzy approach for wind turbine power coefficient estimation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 191-195.
- Joselin Herbert, G.M. & Iniyan, S. & Amutha, D., 2014. "A review of technical issues on the development of wind farms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 619-641.
- Anicic, Obrad & Jovic, Srdjan, 2016. "Adaptive neuro-fuzzy approach for ducted tidal turbine performance estimation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1111-1116.
- Roghayyeh Pourebrahim & Amin Mohammadpour Shotorbani & Fausto Pedro García Márquez & Sajjad Tohidi & Behnam Mohammadi-Ivatloo, 2021. "Robust Control of a PMSG-Based Wind Turbine Generator Using Lyapunov Function," Energies, MDPI, vol. 14(6), pages 1-22, March.
- Moradi, Hamed & Vossoughi, Gholamreza, 2015. "Robust control of the variable speed wind turbines in the presence of uncertainties: A comparison between H∞ and PID controllers," Energy, Elsevier, vol. 90(P2), pages 1508-1521.
- Abdul Motin Howlader & Naomitsu Urasaki & Atsushi Yona & Tomonobu Senjyu & Ahmed Yousuf Saber, 2013. "Design and Implement a Digital H∞ Robust Controller for a MW-Class PMSG-Based Grid-Interactive Wind Energy Conversion System," Energies, MDPI, vol. 6(4), pages 1-26, April.
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Keywords
Wind energy; Stall regulated wind turbine; Sensorless control; LQG/LTR methodology;All these keywords.
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