An Improved Sensorless Nonlinear Control Based on SC-MRAS Estimator of Open-End Winding Five-Phase Induction Motor Fed by Dual NPC Inverter: Hardware-in-the-Loop Implementation

This paper introduces a sensorless nonlinear control scheme based on feedback linearization (FLC) of an open-end winding five-phase induction motor (OeW-5PIM) topology fed by dual neutral point clamped (NPC) inverter. The suggested is combined with the sliding mode (SM) controller to improve dynamic performance (i.e., rising time, overshoot, etc.) studied motor. Furthermore, stator-current-based model reference adaptive system (SC-MRAS) estimator designed for estimation rotor flux and speed. In parallel, enhance robustness against parameter changes, method estimate stator resistances during low-speed ranges. associated further speed accuracy minimize error. Finally, effectiveness correctness examined estimators are validated in real-time implementation using hardware-in-the-loop (HIL) dSpace 1103 board.