Maximum torque control of IPMSM drive with Multi-MFC

This paper proposes maximum torque control of IPMSM drive using multi model reference adaptive fuzzy controller (Multi-MFC) and artificial neural network (ANN). This control method is applicable over the entire speed range which considered the limits of the inverter´s current and voltage rated value. For each control mode, a condition that determines the optimal-axis current for maximum torque operation is derived. This paper considers the design and implementation of novel technique of high performance speed control for IPMSM using Multi-MFC and ANN controller. The hybrid combination of adaptive and fuzzy control will produce a powerful representation flexibility and numerical processing capability. Also, this paper proposes speed and current control of IPMSM using MFC and estimation of speed using ANN controller. The back propagation neural network technique is used to provide a real time adaptive estimation of the motor speed. The proposed control algorithm is applied to IPMSM drive system and the operating characteristics controlled by maximum torque control are examined in detail. Also, this paper proposes the analysis results to verify the effectiveness of the Multi-MFC and ANN controller.