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Compared to conventional mechanical gears, field modulated magnetic gears (FMMG) have certain potential for torque and speed transmission in practical engineering in that its merits of intrinsic overloading protection feature and non contacted configuration. However, FMMG always experience oscillations due to their non-rigid magnetic coupling between two rotors while starting and changes in speed...
A novel field modulated magnetic gear (FMMG) with concentric configuration is proposed and introduced to the drive train for a wind turbine system, which eliminates the vibration, noise and lubrication problems of mechanical gearbox and avoids the size and weight issues of directly-driven wind turbines The efficiency and reliability are improved simultaneously. Based on the static field computations...
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 research is worked on the concept of the converter-controlled permanent magnet generator for wind power generation system. For nonlinear dynamics with unknown nonlinearities of the system, a neural network controller for achieving maximum power tracking as well as output voltage regulation for a wind energy conversion system (WECS) employing a transverse flux permanent magnet synchronous generator...
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