Neural network( NN) has strong non-linear mapping ability,and is ideal for rotor position estimation of switched reluctance machine whose flux characteristic is highly non-linear. However,it 's difficult to obtain satisfying training results,due to the uncertainty of its network structure,initial connection weights and thresholds. Aposition estimation method for SRM based on genetic optimized neural network( GANN) was presented. In the method,genetic algorithm was used to optimize the initial weights and th...
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