Sensorless Predictive Torque Control of Permanent Magnet Assisted Synchronous Reluctance Machine

Authors

1 Faculty of Electrical Engineering, Iran University of Science & Technology, Tehran, Iran

2 Electrical Engineering Department, Iran University of Science & Technology, Tehran, Iran

Abstract

The Permanent Magnet-Assisted Synchronous Reluctance Machines (PMA-SynRM) drive has become one of the most interesting replacements for the high efficiency variable speed drive. Herein, sensorless predictive torque control of PMA-SynRM with nonsinusoidial back electromotive force (EMF) is introduced. In order to control PMA-SynRM, finite control set-model predictive control (FCS-MPC) is implemented by means of the two-level inverter. Besides, the improvement of FCS-MPC, improve Direct mean torque control (DMTC), is utilized as a second method to control PMA-SynRM. Models including Extended Kalman Filter (EKF), Adaptive Filter (AF) and quadrature Phase-Locked Loop (PLL) are used to address estimating of back EMF, the elimination of the high order harmonics, and the accurate estimation of position and speed rotor, respectively. The simulations in nominal and low speed conditions result in effectively minimizing torque ripples compared to conventional FCS-MPC. The outcomes of the observer simulation are successfully guaranteed the accurateness of speed and rotor position.

Keywords