数字海洋与水下攻防2024，Vol.7Issue(3)：285-292,8.DOI:10.19838/j.issn.2096-5753.2024.03.006
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
摘要
Abstract
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Key words
fluxgate sensor/error calibration/improved particle swarm optimization algorithm分类
天文与地球科学引用本文复制引用
丁学振..基于改进PSO算法的传感器误差集成校正[J].数字海洋与水下攻防,2024,7(3):285-292,8.基金项目
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). （2022YFC2808302）
