基于PSO算法的加速度计标定研究及应用——以江坪河水电站面板挠度监测为例  

Accelerometer calibration based on PSO algorithm: case of slab deflection monitoring in Jiangpinghe Hydropower Station

作　　者：祁志君 蔡德所[1] 陈声震 散剑娣 QI Zhijun;CAI Desuo;CHEN Shengzhen;SAN Jiandi(College of Hydraulic and Environment,Three Gorges University,Yichang 430071,China)

机构地区：[1]三峡大学水利与环境学院,湖北宜昌443002

出　　处：《人民长江》2022年第10期205-210,共6页Yangtze River

基　　金：国家自然科学基金重点项目(5143903)。

摘　　要：磁惯导监测系统已应用于多个高混凝土面板堆石坝挠度监测之中,该系统的核心部件是三轴MEMS加速度计,而加速度计的输出精度受多项误差源影响,为此提出了基于改进惯性权重的PSO算法对三轴MEMS加速度计进行标定,提高其测量精度。标定结果表明:PSO算法比迭代最小二乘法的标定输出效果更好,加速度计三轴的精度均明显提升,尤其X轴输出误差同比下降了93.4%。同时,将标定后的磁惯导监测系统应用于江坪河大坝面板挠度测量,并与未标定磁惯导系统、FOG监测系统对比。结果显示标定后关键节点处监测绝对差值从12.6 mm下降到了0.4 mm,优化效果明显。相关成果可供类似工程安全监测借鉴。The magnetic inertial navigation monitoring system has been applied to the deflection monitoring of several high concrete face rockfill dams.The core component of this system is the three-axis MEMS accelerometer, and the output accuracy of the accelerometer is affected by many error sources.In this paper, an improved inertia weight PSO algorithm was used to calibrate the three-axis MEMS accelerometer to improve its measurement accuracy.The calibration results showed that the PSO algorithm had better calibration output than the iterative least square method, and the accuracy of the three-axis of the accelerometer was significantly improved, especially the x-axis output error was reduced by 93.4 %.At the same time, the calibrated magnetic inertial navigation monitoring system was applied to the deflection measurement of the Jiangpinghe dam slab, and compared with the monitoring results of the uncalibrated magnetic inertial navigation system and the FOG monitoring system.The results showed that the absolute difference monitoring at key nodes after calibration decreased from 12.6 mm to 0.4 mm, the optimization effect was obvious.The relevant results can be used as reference in safety monitoring of similar projects.

关 键 词：大坝监测 加速度计标定 PSO算法 MEMS 江坪河水电站 

分 类 号：TV168.1[水利工程]