A Sliding Mode Flux Observer for Online Rotor and Stator Resistance Estimation in Predictive Torque Controlled Induction Motor Drive

Predictive torque control (PTC) is emerging as a powerful control scheme in the control of induction motor drives. But the performance and efficiency of PTC are degraded by the model mismatch and parameter uncertainty. This paper proposes a sliding mode flux observer with parameter adaptation algorithm to overcome model mismatch and parameter uncertainty. Rotor flux, the rotor and stator resistance are estimated online. In this way, predictive torque controller is not dependent on the resistance parameters. The parameter error influence is eliminated. The work is developed with a 2-level voltage source inverter. The simulation results are presented in the paper to verify the proposed strategy.