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For the defects of conventional direct torque control (DTC) system of switched reluctance motors (SRM), RBF neural network (RBFNN) and fuzzy adaptive PID controller are applied to direct torque control system of SRM in the paper. Switching state table is replaced by RBFNN; fuzzy adaptive PID controller is applied to the outer loop for speed adjustment. In order to verify the validity of the method,...
Due to the rotor position of switched reluctance motor (SRM) is a highly nonlinear function of stator windings current and flux linkage, so general linear and analytical methods are difficult to achieve precision results, in the paper, a method is presented that a genetic RBF neural network (RBFNN) is used to rotor position sensorless detection of SRM. Hence, extensive mapping ability of neural network...
Band selection is an important preprocessing procedure for analysis of hyperspectral data, which suffers from the vast amount of data and Hughes phenomenon. In recent years, band (feature) selection using Neural Network such as Multi-layer Forward Neural Network (MLFNN), Radial Basis Function Neural Network (RBFNN) and Double Parallel Feedforward Neural Network (DPFNN) becomes a promising method for...
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