Sensorless control of induction motor drive using BEMF-MRAS with Kalman filter

Abstract

The paper deals with a speed estimation of the induction motor using observer with back electromotive force based model reference adaptive system and Kalman filter. The first part of the paper includes the mathematical description of the rotor speed observer. The second part describes Kalman filter that is used for the filtration of measured stator currents and obtaining their time derivatives. The third part describes a laboratory stand with the induction motor drive and active load unit that was used for an experimental verification of the rotor speed observer. In the last section of the paper, experimental results are shown for different changes of the induction motor speed which confirm good dynamic properties of the induction motor drive with sensorless control.