Integrity monitoring method for GNSS/IMU integrated navigation system of UAV

被引：0

作者：

Zhao J. ^{[1
]}

Song D. ^{[2
]}

机构：

[1] China Transport Telecommunications and Information Center, Beijing

[2] Key Laboratory of Navigation and Communication Fusion Technology, Beihang University, Beijing

来源：

Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica | 2024年 / 45卷 / 07期

关键词：

integrated navigation; integrity monitoring; integrity risk assessment; overbounding; protection level; UAV;

D O I：

10.7527/S1000-6893.2023.28943

中图分类号：

学科分类号：

摘要：

Both Global Navigation Satellite System（GNSS）and Inertial Measurement Unit（IMU）failure risks should be considered for civil UAV integrity monitoring. An autonomous integrity monitoring method for the GNSS/IMU inte⁃ grated navigation system is proposed considering the risks of both IMU and GNSS failures. According to fault detection results，an integrity risk model is established，an integrity risk demand allocation scheme is designed，and a protection level inversion model of each fault mode is established. Filter innovation is used to express the influence of past epoch fault deviation on positioning error，and the problem of protection level inversion is solved under the premise that the fault starting epoch and fault deviation are unknown. The results of simulation at typical UAV low-altitude flight sce⁃ narios show that the protection level of the proposed algorithm can track the changing trend of positioning errors and form a safety overbounding for positioning errors，thus ensuring the integrity of the integrated navigation system. © 2024 Chinese Society of Astronautics. All rights reserved.

引用

共 22 条

[1]

STANFORD D K., Unmanned aircraft systems, (2009)

[2]

PAVEL M D., Understanding the control characteristics of electric vertical take-off and landing（eVTOL）aircraft for urban air mobility［J］, Aerospace Science and Tech⁃ nology, 125, (2022)

[3]

JIANG T, Et al., Unmanned aircraft system traffic management：Concept of operation and sys⁃ tem architecture［J］, International Journal of Transporta⁃ tion Science and Technology, 5, 3, pp. 123-135, (2016)

[4]

ZHU N, Et al., GNSS posi⁃ tion integrity in urban environments：A review of litera⁃ ture［J］, IEEE Transactions on Intelligent Transportation Systems, 19, 9, pp. 2762-2778, (2018)

[5]

A distributed GNSS/INS integrated navigation system in a weak signal environment［J］, Measurement Science and Technology, 32, 11, (2021)

[6]

CHEN C B, CHEN S F，, HU G S，, Et al., An auto-landing strategy based on pan-tilt based visual servoing for unmanned aerial vehicle in GNSS-denied environ⁃ ments［J］, Aerospace Science and Technology, 116, (2021)

[7]

ZHANG W, SUN R., GNSS/IMU integrated navigation positioning and integrity monitoring algorithm for fine UAV management and control, Proceedings of the 11th Annual Meeting of China Satellite Navigation, pp. 82-89, (2020)

[8]

Interval fuzzy model for robust aircraft IMU sensors fault detection［J］, Sensors, 18, 8, (2018)

[9]

LEE J，, KIM M, LEE J Y，, Et al., Integrity assurance of Kalman-filter based GNSS/IMU integrated systems against IMU faults for UAV applications［C］∥ Proceed⁃ ings of the 31st International Technical Meeting of the Satellite Division of The Institute of Navigation（ION GNSS+2018）, pp. 2484-2500, (2018)

[10]

LEE J, Et al., Integrity algorithm to protect against sensor faults in tightly-coupled KF state prediction［C］∥Proceedings of the 32nd International Technical Meeting of the Satellite Division of The Insti⁃ tute of Navigation（ION GNSS+ 2019）, pp. 594-627, (2019)

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