Robust Sensorless Model-Predictive Torque Flux Control for High-Performance Induction Motor Drives

This paper introduces a novel sensorless model-predictive torque-flux control (MPTFC) for two-level inverter-fed induction motor (IM) drives to overcome the high torque ripples issue, which is evidently presented in (MPTC). The suggested approach will be based on modification adaptive full-order-observer (AFOO). Moreover, modeled considering core losses and compensation term of loss applied observer. In order mitigate machine losses, particularly at low speed light load operations, minimization criterion (LMC) suggested. A comprehensive comparative analysis between performance IM drive under conventional MPTC, those proposed MPTFC approaches (without with consideration LMC) has been carried out confirm efficiency drive. Based MATLAB® Simulink® from MathWorks® (2018a, Natick, MA 01760-2098 USA) simulation results, system can operate very speeds better dynamic steady-state performance. comparison detail MPTC techniques regarding torque, current, fluxes performed. stability modified closed-loop observer speed, flux parameters estimation methodology proven wide range via Lyapunov’s theorem.