摘要
六轴惯性MEMS传感器可以对输电线的舞动状态进行监测,以保证输电线路的安全和稳定。通过传感器的加速度和角速度参数,利用算法求解,可以辨识获得输电线的运动状态。对输电线的舞动姿态求解算法进行优化,利用改进的Mahony滤波姿态算法,结合时域-频域积分的方式,对于舞动参数的计算更为精确。利用实验条件对所提方法进行验证,考虑在不同状态下的舞动参数辨识,从实验结果上可以看到,对于舞动幅度和舞动频率的辨识误差均低于输电线路工作需要,最大幅度误差约为4%,频率误差低于0.03 Hz,可以满足舞动状态的检测需求。
Six axis inertial MEMS sensor can monitor the galloping state of transmission line to ensure the safety and stability of trans-mission line.According to the acceleration and angular velocity parameters of the sensor,the motion state of the transmission line can be identified and obtained by using corresponding algorithm.The galloping attitude solution algorithm of transmission line is optimized.The improved Mahony filter attitude algorithm combined with time-frequency domain integration is used to calculate the galloping parameters more accurately.The experimental conditions are used to verify the proposed method.Considering the galloping parameter identification in different states,it can be found from the experimental results that the identification errors of galloping amplitude and frequency are lower than the working needs of transmission line,the maximum amplitude error is about 4%,and the frequency error is lower than 0.03 Hz,which can meet the detection requirements of galloping state.
作者
丁杨
林孟豪
路金达
DING Yang;LIN Menghao;LU Jinda(State Grid Xinjiang Company Limited Electric Power Research Institute,Urumqi Xinjiang 830000,China)
出处
《电子器件》
CAS
北大核心
2023年第6期1572-1577,共6页
Chinese Journal of Electron Devices
基金
高干热典型环境联合实验室新电科[2021]60号。
关键词
惯性MEMS传感器
输电线舞动
状态监测
优化设计
inertial MEMS sensor
transmission line galloping
condition monitoring
optimal design
