ABSTRACT Both inverter nonlinearity and position estimation error under sensorless control will lead to parameter identification error of surface‐mounted permanent magnet (PM) synchronous machines (SPMSMs). In this paper, a simple online parameter identification method is proposed to solve these two issues. Firstly, it is revealed that stator inductance and PM flux linkage can be independently identified, which can eliminate the influence of unknown inverter nonlinearity and stator resistance by only combining dq ‐axis voltage equations. Then, with the help of torque measurement, the correlations of stator inductance, resistance and PM flux linkage with the measured dq ‐axis currents/voltages can be established, in which the influence of position error can be completely cancelled. Subsequently, by developing a full‐rank model with two positive and negative rotor position offset injections, the stator resistance, inductance and PM flux linkage can be accurately identified utilising sequential block‐based extended Kalman filter algorithm. The proposed method under position sensorless control is verified by experiments.
Wang et al. (Thu,) studied this question.
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