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Accurate rotor position estimation for switched reluctance motor using ANFIS

An efficient operation of the switched reluctance motor (SRM) can be achieved only by proper estimation of the rotor position. The rotor position information in switched reluctance motor (SRM) drives is essential for determining the switching instants for proper control of speed, torque and torque pulsations. Several sensorless control methods of rotor position estimation are available for SRM drives. Among them the flux-current method is mostly used to estimate the rotor position. In this paper, the rotor position estimation at standstill and during running conditions of a 6/4-pole SRM involving flux current method using adaptive network fuzzy inference system (ANFIS) is presented.