Measurement and Real-Time Modeling of Inductance and Flux Linkage in Switched Reluctance Motors

Abstract

This paper presents a real-time model to identify the inductance and the flux linkage of switched reluctance motors (SRMs). A dynamic measurement method is used for the real-time modeling. An artificial neural network (ANN), designed in accordance with the inductance and the flux linkage data obtained from the dynamic measurement method, is used to make the real-time model. Experimental studies are realized to prove the applicability of the dynamic measurement method and the ANN-based model. The experiments are performed by using a TMS320F2812 digital signal processor (DSP). The results show that the dynamic measurement method and the ANN-based model ensure real values in all the positions and load conditions of the motor.