Sensorless Backstepping Control Using an Adaptive Luenberger Observer with Three Levels NPC Inverter

In this paper, we propose a sensorless backstepping control of induction motor (IM) associated with three levels neutral clamped (NPC) inverter. First, the backstepping approach is designed to steer the flux and speed variables to theirs references and to compensate the uncertainties. A Lyapunov theory is used and it demonstrates that the dynamic trajectories tracking are asymptotically stable. Second, we estimate the rotor flux and speed by using the adaptive Luenberger observer (ALO). Simulation results are provided to illustrate the performance of the proposed approach in high and low speeds and load torque disturbance. Keywords—Sensorless backstepping, IM, Three levels NPC inverter, Lyapunov theory, ALO.

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