Rotor position error under sensorless control will lead to parameter identification errors of surface-mounted permanent magnet (PM) synchronous machines (SPMSMs). In this article, a novel signal injection method is proposed for the first time, i.e., two additional virtual back-electromotive forces (EMFs) with equal amplitudes as perturbation signals are injected into a position observer. By injecting a positive and a negative virtual back-EMF, it is found that position error caused by parameter errors and inverter nonlinearity maintains constant and is only related to the ratio ofq- andd-axis voltage fluctuations. As a result, the correlations of phase inductance, resistance, and PM flux linkage with the measureddq-axis currents/voltages can be established, in which the influence of both position error and inverter nonlinearity can be completely cancelled. Subsequently, by developing a full-rank model under twod-axis current conditions, the phase resistance, inductance, and PM flux linkage can be accurately identified. The experiment results show good performance of the proposed identification method under sensorless control.
No takes yet. Share an insight, caveat, or question.
Wang et al. (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: