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This paper presents a new approach of position sensorless control for switched reluctance motors (SRM) based on fuzzy neural networks (FNN). In this method, two different modules are established to identify phase commutation signals during the starting period and steady running period respectively. In each module, FNNs are used to map the relationship of phase current, flux linkage and phase commutation...
The switched reluctance motor drive (SRD) has obtained great attention as an AC stepless speed control system due to its large regulating scope, low cost and ruggedness. However, its strong nonlinearity and multivariable characteristic make it difficult to control. To solve the problem, this paper presents an approach of adaptive PWM speed control for switched reluctance motors (SRM) based on RBF...
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