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作 者:马星河[1] 朱行 MA Xinghe;ZHU Hang(School of Electrical Engineering and Automation,Henan Polytechnic University,Jiaozuo 454000,China)
出 处:《兵器装备工程学报》2023年第S01期206-211,共6页Journal of Ordnance Equipment Engineering
基 金:国家自然科学基金项目(U1404522);河南省科技攻关项目(182102310936)。
摘 要:为减少因输电铁塔倾斜而引发的电力故障,将输电铁塔倾斜监测由被动防御转为主动预防,文中设计了基于MEMS传感器输电铁塔倾斜监测系统。系统采用改进的CKF算法对MEMS传感器信号进行滤波,通过引入自适应比例因子λk调节CKF滤波增益,增强对MEMS传感器信号的适应性,提高滤波精度。然后通过欧拉角与四元数变换进行姿态解算,处理后的数据通过ZigBee与GPRS技术传送到远程监测终端,实现输电铁塔倾斜在线监测。实验室测试表明,改进的CKF算法能够将倾斜角测量误差控制在0.07°以内;现场实验表明,系统能够及时采取报警动作,克服传统监测模式的不准确性、滞后性,具备较强的续航能力。In order to reduce the power failure caused by the tilt of a transmission tower and transform the tilt monitoring of the transmission tower from passive defense to active prevention,this paper designs a transmission tower tilt monitoring system based on MEMS sensors.The system adopts the improved CKF algorithm to filter the MEMS sensor signal,and adjusts the CKF filter gain by introducing an adaptive scale factorλk to enhance the adaptability to the MEMS sensor signal and improve the filtering accuracy.Then,the attitude is solved by Euler angle and quaternion transformation,and the processed data are transmitted to the remote monitoring terminal through ZigBee and GPRS technology to realize online monitoring of transmission tower tilt.The laboratory tests show that the improved CKF algorithm can control the tilt angle measurement error within 0.07°.The field experiments show that the system can take alarm actions in time,overcome the inaccuracy and lag of the traditional monitoring mode,and have a strong endurance.
分 类 号:TM75[电气工程—电力系统及自动化]
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