Parameter Identification of Switched Reluctance Motor Using Exponential Swept-Sine Signal

Abstract

Switched reluctance motors (SRMs) present major interest in several domains, e.g., in electric vehicles, because of their wide range speed variation, high performances, low cost, and robustness to run under degraded conditions. This paper aims at developing a new analytical approach for modeling of SRM parameters. Specifically, an identification scheme is proposed to obtain estimates of SRM parameters. Since SRMs have a highly nonlinear behavior, their modeling proves to be challenging. Furthermore, to maximize the energy transfer, SRMs are always operated in magnetically saturated mode. Presently, we will show that SRMs can accurately be described by a generalized polynomial Hammerstein model. The latter is parallel connection of several Hammerstein models having polynomial nonlinearity. Based on this model structure, we design an identification method that consists in: (i) exciting the system with a swept-sine signal; (ii) estimating the model parameter by using finite element method analysis. The effectiveness of the proposed method is highlighted by numerical simulation.