基于改进PSO算法的传感器误差集成校正  

Integrated Calibration of Sensor Errors with Improved PSO Algorithm

作　　者：丁学振 DING Xuezhen(Jiangsu Automation Research Institute,Lianyungang 222061,China)

机构地区：[1]江苏自动化研究所,江苏连云港222061

出　　处：《数字海洋与水下攻防》2024年第3期285-292,共8页Digital Ocean & Underwater Warfare

基　　金：国家重点研发计划项目“船载-潜载海洋地球物理、物理海洋数据处理开源软件研发”(2022YFC2808302)。

摘　　要：为降低搭载于水下移动平台的三轴磁通门传感器受到的平台磁干扰和传感器自身误差(三轴非正交误差、三轴灵敏度不一致误差和零偏误差)的影响,提出了一种基于改进粒子群优化算法的集成校正方法。在分析误差来源的基础上建立了误差校正数学模型,并利用2个仿真算例对校正方法的有效性进行了验证。仿真试验结果表明:与传统粒子群优化算法相比,改进算法具有更高的抗噪能力和求解精度;经过校正之后,由传感器自身误差和平台磁干扰引起的测量误差得到了有效压制。To reduce the impact of platform magnetic interference and sensor errors(triaxial non-orthogonal errors,triaxial sensitivity inconsistency errors and zero bias errors)on the triaxial fluxgate sensor mounted on the underwater platform,an integrated calibration method based on improved particle swarm optimization algorithm is proposed in this paper.On the basis of analyzing the error source,a mathematical model for error calibration is established,and the validity of the calibration method is verified by two simulation examples.The simulation results show that compared with the traditional particle swarm optimization algorithm,the improved algorithm has higher robustness against noise and solution accuracy.After calibration,the measurement errors caused by the sensor errors and platform magnetic interference are effectively suppressed.

关 键 词：磁通门传感器 误差校正 改进粒子群优化算法 

分 类 号：P318.63[天文地球—固体地球物理学]