Sensorless control of Switched Reluctance Motor with unknown load torque for EV application using Extended Kalman Filter and second order sliding mode observer

This paper deals with the sensorless position control of 8/6 Switched Reluctance Machine with unknown load torque input of an Electric Vehicle drivetrain based on Extended Kalman Filter and Second Order Sliding mode Observers. The both developed observers could be an excellent alternative to replace the analog position sensor, in case of high maintenance cost, limit lifecycle and safety-driving with a sensor default The software position sensors consist of estimating the rotor position, the velocity and the unknown load torque of the SRM. The main advantage of the developed observers is to estimate online the variables over all the velocity operation range using only the current and voltage measurements of each phase. However, the proposed observers are implemented in a simulator. The simulation results confirm the reliability and the accuracy of the developed observers comparing to the real position, velocity, motor and load torques.