The need to achieve high performance with very high control accuracy in an electrical machine is paramount and has led to increased interest in modern motor control techniques. Modern motor techniques often require position sensors to be integrated into electrical machines. The position estimation approach offers a cost advantage within acceptable error results over the position measurement approach, making the position estimation approach more suitable. This paper deals with sensorless position control of a synchronous reluctance machine (SynRM) by applying the load torque of an electric vehicle drive train based on an extended Kalman filter (EKF). The developed observer could be an excellent replacement for the analogue position sensor. This work is done in two steps: Firstly, the EKF observer is synthesised and secondly, two types of controllers are used for velocity and currents; the PI and the super-twisting controllers. The simulation results obtained in this work confirm the accuracy and reliability of the developed observer with the super-twisting controllers.

This work aims at solving the torque ripple effect problem minimization in synchronous reluctance machines. The objective is realized by controlling the currents in the synchronous reluctance machine in respect to the reference current and as well, leads to the control of the torque of the machine thereby; reducing the torque ripple effect. In the first, Field -Oriented Control (FOC) is used to control the current of the machine in respect to the reference current. In the second, the Maximum Torque Per Ampere MTPA as well as the Optimal Current control approach are applied for the same purpose. The obtained results are analyzed and the best architecture is selected with the use of a Proportional Integral (PI) controller.