Multi-Parameter Estimation of PMSM Using Differential Model With Core Loss Compensation

Accurate parameters are critical to permanent magnet synchronous machine (PMSM) drive. This article investigates accurate flux linkages, inductances, and PM flux linkage estimation for PMSM with core loss compensation. With conventional model, core loss will induce flux linkage error especially in deep saturation region. Hence, this article first proposes a novel differential modeling technique to compensate core loss, in which differential measurement is defined as the incremental value calculated from the actual measurements under two different speed conditions. With multiple differential measurements, the flux linkage error due to core loss can be compensated to improve the accuracy of flux linkage estimation. Then, the polynomial-based flux linkage model is used to derive PM flux linkage and cross-saturation inductances. Self-inductances are estimated from the flux linkage model using least-squares method. The proposed approach can accurately estimate parameters without the need of core loss data and can improve the estimation accuracy especially in deep saturation region, which is validated on a laboratory interior PMSM and compared with the existing methods under various operating conditions.

Automated summary

This article investigates accurate flux linkages, inductances, and PM flux linkage estimation for permanent magnet synchronous machine (PMSM) drive. Through proposing a novel differential modeling technique to compensate core loss, the accuracy of flux linkage estimation can be improved.