scholarly journals Experimental investigation of aerodynamic devices for wind turbine rotational speed control: Phase II

1996 ◽  
Author(s):  
S L Miller
Keyword(s):  
Experimental Investigation ◽  
Wind Turbine ◽  
Phase Ii ◽  
Rotational Speed ◽  
Speed Control ◽  
Control Phase ◽  
Rotational Speed Control

Development of Rotational Speed Control Systems for a Savonius-Type Wind Turbine

1989 ◽  
Vol 111 (1) ◽  
pp. 53-58 ◽  
Author(s):  
T. Ogawa ◽  
H. Yoshida ◽  
Y. Yokota
Keyword(s):  
Wind Turbine ◽  
Control Systems ◽  
Rotational Speed ◽  
Speed Control ◽  
Strong Wind ◽  
Operating Characteristics ◽  
Savonius Rotor ◽  
Optimum Position ◽  
Two Systems ◽  
Rotational Speed Control

An attempt is made here to increase the output of a Savonius rotor by using a flow deflecting plate. When the deflecting plate is located at the optimum position, the rotor power increases nearly 30 percent over that when no deflecting plate is present. The rotor torque was found to become almost zero, when the plate is placed just in front of the rotor. In addition, two systems to control the rotational speed of a Savonius rotor are developed. These permit the rotor to be stopped in strong wind. Operating characteristics of the two control systems are investigated.

Theoretical and experimental investigation on latching and rotational speed control

2015 ◽  
pp. 471-478
Author(s):  
J Portillo ◽  
J Henriques ◽  
A Falcão ◽  
R Gomes ◽  
L Gato
Keyword(s):  
Experimental Investigation ◽  
Rotational Speed ◽  
Speed Control ◽  
Rotational Speed Control

scholarly journals Rotational Speed Control Using ANN-Based MPPT for OWC Based on Surface Elevation Measurements

2020 ◽  
Vol 10 (24) ◽  
pp. 8975
Author(s):  
Fares M’zoughi ◽  
Izaskun Garrido ◽  
Aitor J. Garrido ◽  
Manuel De La Sen
Keyword(s):  
Rotational Speed ◽  
Acoustic Doppler Current Profiler ◽  
Speed Control ◽  
Surface Elevation ◽  
Wells Turbine ◽  
Point Tracking ◽  
Current Profiler ◽  
Power Point ◽  
Doubly Fed ◽  
Rotational Speed Control

This paper presents an ANN-based rotational speed control to avoid the stalling behavior in Oscillating Water Columns composed of a Doubly Fed Induction Generator driven by a Wells turbine. This control strategy uses rotational speed reference provided by an ANN-based Maximum Power Point Tracking. The ANN-based MPPT predicts the optimal rotational speed reference from wave amplitude and period. The neural network has been trained and uses wave surface elevation measurements gathered by an acoustic Doppler current profiler. The implemented ANN-based rotational speed control has been tested with two different wave conditions and results prove the effectiveness of avoiding the stall effect which improved the power generation.

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