Current-sensor-based predictive current control of a synchronous reluctance motor fed by a six-switch three-phase inverter

Abstract

In this study, we propose a current-sensor-based predictive current control (CSBPCC) for six-switch three-phase (SSTP) inverter-fed synchronous reluctance motor (SynRM) drives. Generally speaking, two current sensors are used for detection of a- and b-phase stator currents of a SynRM drive system, respectively. In each sampling interval, the stator current will be read once rather than twice. After that, the past current variation can be saved and classified according to different switching states generated by the inverter. Next, the sampled stator current and the previously saved current variations are used to predict the future stator current without calculating the back-EMF or any motor's parameter. The next switching state can be chosen by minimizing a cost function to control the inverter directly in the next sampling interval. For comparison purposes, a traditional hysteresis current control (HCC) and the proposed predictive current control are adopted to test their current tracking performance under different operations through some simulations.