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

Author

Ustun, O.

Author_Institution

Dept. of Electr. & Electron. Eng., Abant Izzet Baysal Univ., Bolu, Turkey

Volume

45

Issue

12

fYear

2009

Firstpage

5376

Lastpage

5382

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.

Keywords

digital signal processing chips; inductance measurement; neural nets; power engineering computing; reluctance motors; TMS320F2812 digital signal processor; artificial neural network; dynamic measurement method; flux linkage; inductance measurement; load condition; real-time modeling; switched reluctance motor; Artificial neural networks; Couplings; Digital signal processing; Digital signal processors; Inductance measurement; Neural networks; Reluctance machines; Reluctance motors; Table lookup; Voltage; Artificial neural networks; digital signal processors; inductance and flux linkage measurement; real-time modeling; switched reluctance motors;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/TMAG.2009.2026897

Filename

5326433