Real-Time Multiparameter Identification of a Salient-Pole PMSM Based on Two Steady States

Minglei Zhou, Long Jiang and Chenchen Wang
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Minglei Zhou: Institute of Power Electronics, School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China
Long Jiang: Institute of Power Electronics, School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China
Chenchen Wang: Institute of Power Electronics, School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China

Energies, 2020, vol. 13, issue 22, 1-14

Abstract: Real-time multiparameter identification has been widely investigated in relation to high-performance control and fault diagnosis of salient-pole permanent magnet synchronous motors (PMSMs). However, it is rank-deficient for simultaneously estimating flux, resistance, and dq -axis inductances based on one steady state under maximum torque per ampere (MTPA) control, which will cause the ill-convergence problem in the results. This paper proposes a new method to solve the rank deficiency problem in the multiparameter identification of salient-pole PMSMs in systems where the motor working conditions do not change frequently. For this type of system, a second steady state is constructed in order to meet the full-rank conditions for multiparameter identification and minimize the torque ripple. Furthermore, in order to reduce the influence of inductance variations, a better shift direction from the first steady state to the second is ensured based on the analysis of the theoretical error. Simulation and experimental results show that the proposed method demonstrates good identification performance.

Keywords: multiparameter identification; salient-pole PMSM; steady state; error analysis (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
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