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Recently, artificial neural networks (ANNs) have found many promising applications in power electronics. However, the hardware implementation of ANN requires too many resources due to its parallel structure. The unavailability of real-time ANN hardware at an attractive price limits its applications. This paper proposes a simplified ANN hardware architecture using FPGA for the power electronic applications,...
This paper presents a novel control strategy of turbine directly driven permanent magnet synchronous generator (PMSG) for a small wind generation system. Compared to the traditional techniques, this new method has following advantages: 1) the proposed neural networks provides a fast and accurate estimation of actual wind velocity without anemometer; 2) the maximum mechanical power of small wind turbine...
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