Evaluation of SMC Synchronous Motor Using Soft Magnetic ‎Compounds and Direct Fuzzy Torque Control ‎

Abstract

About 60% of industrial electrical energy is consumed by electric motors. Hence. Extensive efforts have been adopted in order to increase the efficiency of these motors under different operating conditions. Among these motors, the use of three-phase synchronous motors, made of Soft Magnetic Composites (SMC) type, has been growing up in the world during the past decade. The optimal efficiency of these motors is highly sensitive to their mathematical model parameters. In this article, first, the performance of SMC motors is evaluated in detail and the corresponding pros and cons are highlighted in different fields. Then, a mathematical model based on exhaustive simulation, is presented for an SMC motor using Fuzzy Inference Systems (FIS). Given that torque and speed as the outputs, nonlinear methods based on FIS are used. To do so, we assume that only one input at a time can go through the FIS model to account for the input/output relationships. Last but not the least, the parametric model of the motor is cross-evaluated using exhaustive simulation in MATLAB/Simulink.