In this paper, an improved model reference adaptive system (MRAS) method is proposed, taking the flux linkage free permanent magnet synchronous motor (PMSM) model as a reference model to identify stator resistance and stator inductance online. The negative impact of permanent magnet flux linkage error on other parameters identification is avoid. According to MATLAB/Simulink simulation, the proposed parameter identification method can achieve high identification steady accuracy and dynamic response, which proves the effectiveness of this method.
Improved MRAS Parameter Identification Method for PMSM Based on Permanent Magnet Flux Linkage Free Model
Li, Zhaokai
2022-01-01
Abstract
In this paper, an improved model reference adaptive system (MRAS) method is proposed, taking the flux linkage free permanent magnet synchronous motor (PMSM) model as a reference model to identify stator resistance and stator inductance online. The negative impact of permanent magnet flux linkage error on other parameters identification is avoid. According to MATLAB/Simulink simulation, the proposed parameter identification method can achieve high identification steady accuracy and dynamic response, which proves the effectiveness of this method.File in questo prodotto:
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