MRAC-based identification method of iron loss resistance for permanent magnet synchronous motor

In order to calculate the iron loss resistance of the permanent magnet synchronous motor (PMSM) in real time, this paper presents an identification method of iron loss resistance based on model reference adaptive control (MRAC), and designs the adaptive mechansim by Popov's hyperstability theory. According to the equivalent phase d-q circuit model of PMSM considering the iron loss resistance, the simplified PMSM model in the original Simulink motor library is modified. The MRAC-based identification method is simulated on the modified PMSM system under steady and dynamic conditions. The simulation results show that the estimated value of iron loss resistance can effectively converge to the real value. By adjusting the PI parameters and adding a low-pass filter, the robustness and dynamic characteristics of the identification system are improved.