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作 者:沈子涵 赵修斌[1] 张闯[2] 张良 刘鑫贤 SHEN Zihan;ZHAO Xiubin;ZHANG Chuang;ZHANG Liang;LIU Xinxian(Information and Navigation College,Air Force Engineering University,Xi’an 710077,China;Unit 95510 of the PLA,Guiyang 550029,China)
机构地区:[1]空军工程大学信息与导航学院,陕西西安710077 [2]中国人民解放军95510部队,贵州贵阳550029
出 处:《系统工程与电子技术》2023年第3期831-838,共8页Systems Engineering and Electronics
基 金:国家自然科学基金(41904014)资助课题。
摘 要:针对传统的全球导航卫星系统/惯性导航系统(global navigation satellite system/inertial navigation system,GNSS/INS)紧组合系统容错方法对故障处理方式单一、环境适应性差的问题,提出了一种基于长短期记忆神经网络的自适应故障容错方法。该方法基于长短期记忆神经网络建立GNSS伪距、伪距率预测模型。发生故障时,通过分量检测法定位故障观测的维度,并引入相对差分定位精度分析故障观测对系统定位精度的影响,从而实现隔离与重构策略的动态选择。利用实测数据从可见星数、几何构型、故障持续时间3个角度设置多组环境进行仿真实验。仿真结果表明,所提方法对复杂环境具有更好的适应能力,可有效降低故障存续期间系统的定位误差,提高系统的故障检测性能。Aiming at the problem that the traditional fault-tolerant method of tightly coupled global navigation satellite system/inertial navigation system(GNSS/INS)is insufficient to adapt to the environment and to solve the fault,an adaptive fault-tolerant method based on long-term and short-term memory neural network is proposed.In this method,GNSS pseudo-range and pseudo-range rate prediction models were established based on long and short-term memory neural network.When a fault occurs,the dimension of the fault observation is located by the component detection method,and the relative differential precision of positioning is introduced to analyze the impact of the fault observation on the positioning accuracy of the system and to realize the dynamic selection of the isolation and reconfiguration strategy.Utilizing the actual measurement data,simulation experiments are conducted by setting up multiple environments from three perspectives:number of visible stars,geometric configuration,and fault duration.The simulation results show that the proposed method has better adaptability to complex environments,and can effectively reduce the localization error of the system during faults existing period and improve the fault detection performance of the system.
关 键 词:全球导航卫星系统/惯性导航系统紧组合 容错 长短期记忆神经网络 定位精度 故障检测
分 类 号:V249.3[航空宇航科学与技术—飞行器设计]
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