Izvorni znanstveni članak
https://doi.org/10.1080/00051144.2024.2354643
Position sensorless extended and unscented Kalman filters with permanent magnet flux linkage and load torque estimation for surface-mounted PMSM
Krisztián Horváth
; Department of Power Electronics and Electrical Drives, Széchenyi István University, Győr, Hungary
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* Dopisni autor.
Sažetak
In this paper, novel position sensorless state estimators with improved robustness to permanent
magnet (PM) flux linkage variations in permanent magnet synchronous machines (PMSMs) are
presented. Unlike state estimators using conventional infinite inertia or electromechanical models, the estimators presented here can also estimate the PM flux linkage, so they are not sensitive
to its uncertainty. For each models used for state estimation, a detailed observability study is presented. Due to the nonlinear models, extended and unscented Kalman filter algorithms are used
for the implementation. To compare the sensitivity of conventional and proposed state estimators to uncertainty in electrical parameters, numerical simulations are carried out. In addition, the
computational burden of the estimators is compared by real-time execution.
Ključne riječi
Permanent magnet synchronous machine; position sensorless state estimation; permanent magnet flux linkage estimation; load torque estimation; nonlinear observability; extended and unscented Kalman filters
Hrčak ID:
326273
URI
Datum izdavanja:
22.5.2024.
Posjeta: 0 *