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This paper presents a novel Adaptive Network-Based Fuzzy Inference System(ANFIS) for the optimal control of permanent magnet synchronous generator (PMSG) to extract maximum power without the need of speed & position sensors or any complex estimating algorithm. The control algorithm determines the optimal value of torque controlling current component as a function of change in output power. The...
The wind power varies mainly depending on the wind speed. Many methods have been proposed to track the maximum power point (MPPT) of the wind, such as the fuzzy logic (FL), artificial neural network (ANN) and Neuro-Fuzzy. In this paper, a variable speed wind generator MPPT based on artificial neural network (ANN) is presented. It is designed as a combination of the generator speed forecasting model...
This paper summarizes electrical control systems of wind turbine generators. Based on the classification of fixed speed generator and variable speed generator, permanent-magnet synchronous generator (PMSG) and doubly-fed induction generator (DFIG) are introduced basically. In the blade pitch angle control systems, hydraulic and electric pitch angle control systems are introduced comparatively. In...
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