摘要
影响光纤陀螺惯导系统性能的主要因素是光纤陀螺的随机噪声与常值漂移,随着时间的积累,它们导致导航误差的不断增大。当潜艇采用两套及以上光纤陀螺惯性导航系统构成冗余配置时,在缺乏外界辅助信息的环境中,如何实现对这些系统性能的有效监测与评估成为关键问题。本文建立了联合状态卡尔曼滤波估计模型,设计了在线监测与优选方案,通过对性能状态误差估计效果的评估,间接反映了光纤陀螺惯导系统的性能。仿真和试验结果表明,所提方法能实现对光纤陀螺惯导系统的在线实时监测,并优选出性能较优的惯导系统。
The performance of fiber-optic gyro(FOG)inertial navigation systems is primarily affected by random noise and constant drift,both of which accumulate over time and lead to growing navigation errors.When submarines employ redundant configurations with two or more FOG inertial navigation systems,effective monitoring and evaluation become critical in environments without external aiding information.This study establishes a joint-state Kalman filter estimation model and designs an online monitoring and selection scheme.System performance is indirectly assessed through evaluation of performance state error estimates.Simulations and experiments confirm that the proposed method enables real-time online monitoring and identifies the best-performing FOG inertial navigation system.
作者
皮寿熹
常佳冲
李明宇
张亚
王亚波
PI Shouxi;CHANG Jiachong;LI Mingyu;ZHANG Ya;WANG Yabo(China State Shipbuilding Corporation Limited(CSSC),Engineering Management Center,Beijing 100080,China;School of Instrument Science and Engineering,Harbin Institute of Technology,Harbin 150001,China;Wuhan Second Ship Design and Research Institute,Wuhan 430064,China)
出处
《压电与声光》
北大核心
2025年第6期1091-1099,共9页
Piezoelectrics & Acoustooptics
基金
中国航空科学基金(ASFC-2022Z073077005 ASFC-2022Z022077002 ASFC-2024Z024077001)
计量与校准技术国防科技重点实验室基金(JLKG2024001B006)。
