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http://dx.doi.org/10.5370/JEET.2013.8.4.863

Adaptive Control of Pitch Angle of Wind Turbine using a Novel Strategy for Management of Mechanical Energy Generated by Turbine in Different Wind Velocities  

Hayatdavudi, Mahdi (Department of Electrical Engineering, Borazjan Branch, Islamic Azad University)
Saeedimoghadam, Mojtaba (Department of Electrical Engineering, Borazjan Branch, Islamic Azad University)
Nabavi, Seyed M.H. (Department of Electrical Engineering, Tabriz Branch, Islamic Azad University)
Publication Information
Journal of Electrical Engineering and Technology / v.8, no.4, 2013 , pp. 863-871 More about this Journal
Abstract
Control of pitch angle of turbine blades is among the controlling methods in the wind turbines; this measure is taken for managing mechanical power generated by wind turbine in different wind velocities. Taking into account the high significance of the power generated by wind turbine and due to the fact that better performance of pitch angle is followed by better quality of turbine-generated power, it is therefore crucially important to optimize the performance of this controller. In the current paper, a PI controller is primarily used to control the pitch angle, and then another controller is designed and replaces PI controller through applying a new strategy i.e. alternating two ADALINE neural networks. According to simulation results, performance of controlling system improves in terms of response speed, response ripple, and ultimately, steady tracing error. The highly significant feature of the proposed intelligent controller is the considerable stability against variations of wind velocity and system parameters.
Keywords
ADALINE neural network; Adaptive controller; Pitch angle; Wind turbine;
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Times Cited By KSCI : 2  (Citation Analysis)
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