Nonlinear Sensorless Control of Doubly Fed Induction Machines in Electric Vehicles

This article addresses a sensorless control design based on an extended Kalman Filter (EKF) to estimate the state of a doubly-fed induction motor (DFIM) model. This kind of motor is operating as an actuator in electric vehicle (EV) with optimal performance. Thus, a nonlinear model is adopted to simultaneously allow a simpler observability system analysis and a more effective state estimation. The obtained results clearly show both better performance of this suggested control, and the structure of power provided to the machine.