Speed-Sensorless Finite Control Set Model Predictive Control of PMSM with Permanent Magnet Flux Linkage Estimation

Permanent magnet synchronous motors (PMSMs) have become the focus of interest in electrical machine drive systems due to their advantages. These motors can have a nonlinear model with time-varying parameters, making them difficult to control. Therefore, model predictive control (MPC) is inherently very suitable to control PMSMs due to the inclusion of nonlinearities and constraints. Also, the elimination of speed-sensors reduces cost and hardware-complexity. Furthermore, the estimation of time-varying parameters also improves control performance. Therefore, in this paper, a speed-sensorless MPC for a PMSM based on an adaptive fading extended Kalman filter is considered. The proposed drive system is robust to changes in load-torque and permanent magnet flux linkage. As a result, a good estimation performance has been achieved.