Passivity-based adaptive complementary PI sliding-mode speed controller for synchronous reluctance motor using predictive current control

In this study we propose a predictive current control (PCC) and a passivity-based adaptive complementary PI sliding-mode (PBACPISM) controller to control the current and speed of the synchronous reluctance motor (SynRM) drive system. In PCC the future stator currents can be predicted using the proposed extended back-EMF estimation method for seven possible voltage vectors generated by the inverter. According to a cost function, the voltage vector that minimizes the cost function can be obtained at the present sampling time to directly control the drive signals of the inverter at the next sampling time. In addition, to improve the speed tracking performance of the SynRM drive system, the PBACPISM controller is proposed. The stability of the whole system is proved by passivity theory and Barbalat´s lemma. Simulation results show satisfactory performance in both current control and speed control and validate the proposed method.