Application of Frequency Response Analysis for Parameters Estimation of Switched Reluctance Motors

Abstract

Switched reluctance machines (SRMAs) have recently received significant attention in the electrical power research community. This attention can be attributed to its outstanding features and traits of being used as generators or engines. An accurate model should be developed to design controllers and drives for these SRMAs properly. Analytical techniques and polynomial degree representation have been used in several attempts to find the SRMA parameters in the literature. However, it is important to note that these techniques are based on many assumptions and approximations. This study develops a precise, analytical model of the SRMA without any assumptions, approximations, or conducting any practical experiments. This analysis is based on frequency techniques using Fourier expansion and spectrum analysis. Then, an identification method is proposed to determine the model parameters, e.g., the inductance parameters. Furthermore, the magnetic field distribution and other performances of the switched reluctance motors, such as the torque, can be given using this method. Comparisons between the outcomes produced by this frequency model and those provided by FEM (Finite Element Method) and the recursive least squares approach were made to demonstrate the efficacy of the suggested study. This comparison shows that the proposed method is more accurate in finding the SRMA parameters than other methods. The proposed approach effectively predicted the motor parameters in about 2% less than other methods.