Abstract
In order to eliminate the identification error of permanent magnet flux linkage (PM flux linkage) due to the measurement noise and multi-parameters variation of permanent magnet synchronous motor (PMSM), the parameter sensitivity of PM flux linkage is first analyzed, then based on the analysis results, an online full rank identification method of PM flux linkage is proposed by the mutual updating of two extended kalman filter to guarantee the accuracy and uniqueness of identification results. According to abovementioned researches, PMSM drive system integrated with the proposed identification method is set up and system simulation and experimental validation are implemented, research results validate the proposed method can implement the real-time accurate identification of PM flux linkage no matter the system operates in steady state or dynamic state
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