PMSM parameter identification based on inductive correlation and mechanical parameters
A multi-parameter precise identification method considering the correlation of mechanical parameters and mutual inductance of the dq-axis was proposed to address the complex nonlinear multi-parameter problems in the control of permanent magnet synchronous motors.Firstly,based on the inductance relationship in the three-phase stator coordinate system,a correlated model of the mutual inductance of the dq-axis was established.Combining with the motor voltage and mechanical model,the damping coefficient and torque error caused by the DC bias were estimated.Secondly,a nonlinear estimation model of the correlated inductance considering the mechanical parameters was established,and the parameters were identified using the least squares method.The proposed method considers the correlation between inductances and combines with the mechanical model,improving the accuracy of multi-parameter identification for permanent magnet synchronous motors.Finally,the effectiveness of the proposed method was verified through experimental validation and method comparison.
magnetic saturationmechanical parameterscorrelated inductance modelmulti-parameterleast square method
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