Adaptivní řízení spínaného reluktančního motoru bez čidla polohy

This paper describes position estimator of switched reluctance motor drive based on artificial neural network model. After the introductory stage, main algorithms used for position and resistance of rotor winding estimation are explained. Estimation algorithms are designed in Matlab software and implemented into FPGA