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A neural network controller is presented for the direct power control of a doubly fed induction generator (DFIG) in a wind turbine. Due to the variability of wind speed, aerodynamic control of the pitch angle of the turbine blades is necessary to capture maximum power from the wind. An alternative control strategy for tracking the maximum power that can be extracted is by accurate control of the turbine...
Accurate control of the wind turbine at its optimal rotational speed for a given wind speed is required to extract maximum power from the wind turbine generator system in the absence of aerodynamic pitch control. Due to inherent wind turbine nonlinearities and unpredictable wind speed fluctuations, precise control is a difficult task to undertake. This paper presents a sliding mode speed controller...
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