A Way of Integrated Navigation Fault Detection of Near Space Hypersonic Cruising Aircraft

doi:10.16182/j.issn1004731x.joss.201708022

Abstract

Abstract: The doppler shift is augmented, that causes acquisition and tracking of GNSS losing, error of CNS's ray propagation also causes the problem of celestial body tracking when aircraft is hypersonically flighting. A way of INS/GNSS/CNS integrated navigation fault detection of the hypersonic cruising aircraft based on the residual chi-square-Fuzzy ARTMAP (Adaptive Resonance Theory Map) fast neural networks was proposed. The fault diagnostic elements of INS/GNSS/CNS integrated navigation system of the hypersonic cruising aircraft were given; the detection function formula of residual chi-square test and Fuzzy ARTMAP fast neural networks arithmetic was deduced; the realizing way was studied. The results demonstrate that the test way is available and feasible, and the navigation precision and reliability are improved.

Key words: near space hypersonic cruising aircraft, integrated navigation, fault detection, residual chi-square test, fuzzy ARTMAP neural networks

CLC Number:

V448

Li Hailin, Zhang Bin, Wu Dewei, Lu Hu. A Way of Integrated Navigation Fault Detection of Near Space Hypersonic Cruising Aircraft[J]. Journal of System Simulation, 2017, 29(8): 1809-1814.

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