MRAS based Speed Sensorless Indirect Vector Control of Induction Motor Drive for Electric Vehicles

The aim of this paper is to investigate the performance of speed sensorless indirect vector control of IM traction drive and tracking accuracy of speed estimator employed on different driving profiles of EVs such as accelerating, constant speed and decelerating mode etc. Dynamic model of EV and IM are presented first in order to understand the required tractive force for the propulsion and behavior of the motor for transient analysis respectively. Rotor flux based Model Reference Adaptive System (MRAS) speed estimator is designed and implemented on sensorless indirect vector controlled traction drive. Simulation results show the satisfactory performance of speed regulation with the proposed speed sensorless control under different driving profiles. Rotor flux based MRAS speed estimator is implemented in indirect vector control of IM to get the effective and reliable solution for the speed estimation in sensorless traction drive.