A Position Sensorless Control System of SRM using Neural Network

신경회로망을 이용한 위치센서 없는 스위치드 릴럭턴스 전동기의 제어시스템

  • Published : 2003.11.01

Abstract

This paper presents a position sensorless control system of Switched Reluctance Motor(SRM) using Neural Network. The basic algorithm of this scheme is based on the flux linkage characteristic according to the phase currents and rotor position. A sufficient experimental data was used for neural network training. The proposed position sensorless control system was realized using TMS320F240 DSP. The experimental result shows some good results, and verifies the possibility of this algorithm.

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