Research Information System
JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY, vol.40, no.1, pp.355-363, 2024 (SCI-Expanded)
Permanent magnet synchronous motors (PMSMs) are widely used in industrial applications and electric vehicles which require high-performance variable torque and speed due to their high efficiency, simplest structure, and wide speed range. In this study, an extended complex Kalman filter (ECKF) based observer is designed for simultaneous estimation of the load torque with the stator stationary axis components of stator currents and rotor angular velocity/position required for speed-sensorless model predictive current control PMSMs. The designed ECKF observer and model predictive current control system has been tested and validated with challenging scenarios under different load torques in a wide speed range including zero speed and speed reversals. In addition, the performance of both the ECKF and the model predictive current control system is analyzed against parameter changes PMSM. The simulation results confirm that the ECKFobserver and the speed-sensorless model predictive current control system using this observer have very high performance. In addition, the computational burden of the ECKF observer was compared with the conventional extended Kalman filter, which estimates the states and parameters estimated in this study, and it was shown that the processing computational burden decreased