Review of Inductance Identification Methods Considering Inverter Nonlinearity for PMSM

Abstract

Permanent magnet synchronous motors (PMSMs) are widely used in high-power-density and flexible control methods. Generally, the inductance changes significantly in real-time machine operations because of magnetic saturation and coupling effects. Therefore, the identification of inductance is crucial for PMSM control. Existing inductance identification methods are primarily based on the voltage source inverter (VSI), making inverter nonlinearity one of the main error sources in inductance identification. To improve the accuracy of inductance identification, it is necessary to compensate for the inverter nonlinearity effect. In this study, an overview of the PMSM inductance identification and the related inverter nonlinearity self-learning methods are presented.