R
Ryosei Sakamoto
Researcher at University of the Ryukyus
Publications - 15
Citations - 1070
Ryosei Sakamoto is an academic researcher from University of the Ryukyus. The author has contributed to research in topics: Wind power & Wind speed. The author has an hindex of 15, co-authored 15 publications receiving 1021 citations.
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Journal ArticleDOI
Output power leveling of wind turbine Generator for all operating regions by pitch angle control
Tomonobu Senjyu,Ryosei Sakamoto,Naomitsu Urasaki,Toshihisa Funabashi,H. Fujita,Hideomi Sekine +5 more
TL;DR: In this paper, a generalized predictive control strategy based on average wind speed and standard deviation of wind speed was proposed to control the pitch angle of the blades of a wind turbine generator.
Proceedings ArticleDOI
Output power leveling of wind turbine generator for all operating regions by pitch angle control
Ryosei Sakamoto,Tomonobu Senjyu,T. Kinjo,Naomitsu Urasaki,Toshihisa Funabashi,H. Fujita,Hideomi Sekine +6 more
TL;DR: In this article, the authors proposed a pitch angle control strategy based on the average wind speed and standard deviation of wind speed, and pitch angle was controlled using a generalized predictive control in all operating regions for wind turbine generator.
Proceedings ArticleDOI
Output power leveling of wind turbine generator by pitch angle control using adaptive control method
TL;DR: In this article, a self-tuning regulator (STR) is used as the adaptive control to adjust the pitch angle of the blades of the windmill to compensate the influence of parameter variations.
Journal ArticleDOI
Output Power Leveling of Wind Turbine Generator by Pitch Angle Control Using H ∞ Control
Ryosei Sakamoto,Tomonobu Senjyu,Toshiaki Kaneko,Naomitsu Urasaki,Teruo Takagi,Shigeyuki Sugimoto +5 more
TL;DR: In this article, an output power leveling technique of WTG by pitch angle control using H ∞ control, and the control input of the WTG linear model is separated from the disturbance.
Proceedings ArticleDOI
Output power leveling of wind farm using pitch angle control with fuzzy neural network
TL;DR: In this paper, a generalized predictive controller (GPC) was used to control the pitch angle of wind turbines in order to reduce the output power fluctuation of wind turbine generators.