基于长周期暂态信号分析的电机驱动变换器直流母线电容在线状态监测OA北大核心CSTPCD
Online monitoring of a DC-link capacitor for a motor drive converter based on long period transient signal analysis
直流母线电容作为电机驱动变换器中最薄弱的元件之一,其老化会导致系统故障的概率增大,因此对电容老化进行在线监测至关重要.针对现有监测方法存在经济性差、采样频率高、影响系统正常运行等问题,提出一种基于长周期暂态信号分析的电容在线监测方法,用于估计电机驱动变换器直流母线等值串联电容(equivalent series capacitance,ESC).首先,根据系统负载切换过程建立共节点感-容等值暂态模型,分析长周期暂态信号特点.其次,推导基于长周期暂态信号的在线监测模型,确定监测程序启动判定条件.然后,提出一种基于多项式重构的电容电流基线校准方法,消除传感器零漂影响,提高监测精度.最后,仿真和实验表明所提出方法的监测精度满足电容监测的要求.
DC-link capacitors,as some of the most vulnerable components in motor drive inverters,are crucial for online monitoring for aging.Their deterioration increases the probability of system failure.However,existing monitoring methods suffer from issues such as poor economic efficiency,high sampling frequencies,and interference with normal system operation.Therefore,a capacitor online monitoring method based on long-period transient signal analysis is proposed.This is used to estimate the equivalent series capacitance(ESC)of DC-link capacitors in motor drive inverters.Initially,a common-node admittance-capacitance equivalent transient model is established based on the system load switching process,and the characteristics of long-period transient signals is analyzed.Subsequently,an online monitoring model based on such signals is derived,and the criteria for initiating the monitoring process are determined.Then a polynomial reconstruction-based capacitor current baseline calibration method is proposed to eliminate the influence of sensor drift and to enhance monitoring accuracy.Finally,simulation and experiments show that the monitoring accuracy of the proposed method meets the requirements of capacitance monitoring.
王要强;李锐;陈天锦;聂福全;赖锦木;梁军
郑州大学电气与信息工程学院,河南 郑州 450001||河南省电力电子与电力系统工程技术研究中心,河南 郑州 450001许继电源有限公司,河南 许昌 461000||河南省智能充电技术重点实验室,河南 许昌 461000河南科技学院机电学院,河南 新乡 453003郑州大学电气与信息工程学院,河南 郑州 450001||卡迪夫大学工程学院,英国 卡迪夫 CF24 3AA
电机驱动变换器电容器老化等值串联电容在线监测长周期暂态信号
converters of motor drivencapacitor agingequivalent series capacitanceonline monitoringlong period transient signal
《电力系统保护与控制》 2024 (016)
120-131 / 12
This work is supported by the National Natural Science Foundation of China(No.52307148). 国家自然科学基金项目资助(52307148);中央引导地方科技发展资金项目资助(2022ZY0134)
评论