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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...
This paper demonstrates a method of using a DC-DC boost conversion circuit to suppress the commutation torque ripple of a brushless DC (BLDC) motor with rectangular flux distribution. The commutation torque of a BLDC motor is depending on the commutation transient line current. To calculate the line current accurately, the phase resistance is taken into account, and the phase currents rising and falling...
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