Encoderless Finite Control Set Predictive Current Control of Synchronous Reluctance Motor

In this paper, a simplified robust method for encoderless finite control set predictive current control (FCSPCC) for synchronous reluctance motor (SRM) is suggested, discussed, and simulated. The predictive current control replaces the conventional PI current controllers used in field oriented control to a strategy that uses a discrete model for SRM which predicts the future values of the currents for all the possible switching vectors for two-level inverter. Furthermore, the cost function is performed to select the optimal switching vector to apply in the next sampling interval. Additionally, PCC establishes a convergence mechanism to follow the reference values of the desired speed. For encoderless control, Extended Kalman filter (EKF) is composed in the rotating reference frame to estimate the position and speed of the rotor and the currents for SRM. Those estimated values are fed back into the predictive model. To demonstrate its feasibility, the presented control is executed through MATLAB/Simulink during different speed area including zero and reversal speed. Simulation results show high robustness and reliability of the drive with low harmonic distortion (THD).