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Intelligent fault-tolerant algorithm with two-stage and feedback for integrated navigation federated filtering

机译:集成导航联合滤波的两阶段反馈智能容错算法

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摘要

In order to take full advantage of federated filter in faulttolerant design of integrated navigation system, the limitation of fault detection algorithm for gradual changing fault detection and the poor fault tolerance of global optimal fusion algorithm are the key problems to deal with. Based on theoretical analysis of the influencing factors of federated filtering fault tolerance, global faulttolerant fusion algorithm and information sharing algorithm are proposed based on fuzzy assessment. It achieves intelligent faulttolerant structure with two-stage and feedback, including real-time fault detection in sub-filters, and fault-tolerant fusion and information sharing in main filter. The simulation results demonstrate that the algorithm can effectively improve fault-tolerant ability and ensure relatively high positioning precision of integrated navigation system when a subsystem having gradual changing fault.
机译:为了在联合导航系统的容错设计中充分利用联邦过滤器的优势,需要逐步解决故障检测算法在渐进式故障检测中的局限性以及全局最优融合算法的容错性差的问题。在对联邦过滤容错影响因素进行理论分析的基础上,提出了基于模糊评估的全局容错融合算法和信息共享算法。它实现了具有两阶段和反馈的智能容错结构,包括子过滤器中的实时故障检测以及主过滤器中的容错融合和信息共享。仿真结果表明,该算法可以有效提高子系统在故障逐渐变化的情况下的容错能力,保证组合导航系统的定位精度较高。

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