考虑电流采样误差的数控机床PMSM参数辨识策略
Parameter Identification Strategy for PMSM in CNC Machine Tools Considering Current Sampling Errors
梁耘涌 1龙江2
作者信息
- 1. 广州数控设备有限公司,广东 广州 510530;广东安达智能装备股份有限公司,广东东莞 523400
- 2. 吉林大学通信工程学院,吉林长春 130012
- 折叠
摘要
作为数控机床的重要执行机构,伺服电机本体参数信息的准确获取对工业母机加工性能有着决定性作用.现有参数辨识策略多仅考虑逆变器非线性这一非理想因素对辨识精度的影响,忽略了离散控制系统电流采样误差对辨识结果的精度影响.针对这一问题,对电流采样误差(偏置误差及比例误差)对本体参数辨识精度影响进行分析;结合数控机床的实际运行工况,在无需进行电流采样误差修正的前提下,设计参数辨识步骤,利用有效辨识过程中的代数平均及误差消减方法,有效规避电流采样误差对辨识精度的影响.实验结果表明:在无需进行电流采样误差补偿及硬件修改的前提下,所提方法可实现电机本体参数准确离线辨识,且辨识误差均低于5％,可为数控机床伺服系统系统初始化过程提供有效保障.
Abstract
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.
关键词
永磁同步电机(PMSM)/参数辨识策略/电流采样误差/辨识精度Key words
permanent magnet synchronous motor(PMSM)/parameter identification strategy/current measurement error/identifi-cation accuracy引用本文复制引用
出版年
2024
NETL
NSTL
万方数据