Parameter Identification Strategy for PMSM in CNC Machine Tools Considering Current Sampling Errors
As critical actuators in CNC machine tools,the accurate acquisition of servo motor parameter information plays a decisive role in the processing performance of industry machine tools.Most of the existing parameter identification strategies only consider the in-fluence of the non-ideal factors like inverter nonlinearity on the identification accuracy,while overlooking the impact of current meas-urement errors in discrete control systems on identification accuracy.In view of this problem,the impact of current measurement errors(offset error and scaling error)on parameter identification accuracy of motor parameters was analyzed.Considering actual operating con-ditions of CNC machine tools,parameter identification steps were designed to eliminate the need for current measurement error correc-tion.Algebraic averaging and error reduction methods were applied to mitigate the impact of current measurement errors on identification accuracy.Experimental results confirm that,without current measurement error compensation or hardware modification,the proposed method can accurately identify motor parameters offline,with an identification error below 5％,ensuring reliable servo system initializa-tion in CNC machine tools.
NETL
NSTL
万方数据
