Improved Current Regulators for Sensorless Synchronous Reluctance Motor

To achieve rapid response, good tracking performance and high efficiency, different types of control strategies have been adopted for synchronous reluctance motors (SynRMs). In this paper, a new approach to rotor speed estimation of a sensorless reluctance synchronous motor is proposed. It consists of replacing the conventional PI current controller with that based on model predictive control (MPC) using the adaptive model reference estimator (MRAS) upstream. The stator current and speed are first estimated by the MRAS technique and then injected into the MPC block to calculate the reference voltage vector (RVV). This new approach which takes into account all the mechanical and electrical variables in a control law via a new cost function allows to obtain the signals switched to the power converter. The overall system is implemented in MATLAB/SIMULINK.