ACTA AERONAUTICAET ASTRONAUTICA SINICA >
Integrity monitoring method for GNSS/IMU integrated navigation system of UAV
Received date: 2023-04-28
Revised date: 2023-05-05
Accepted date: 2023-06-20
Online published: 2023-07-07
Supported by
National Key R&D Program of China(2022YFB3904400)
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 integrated 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 scenarios 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.
Jing ZHAO , Dan SONG . Integrity monitoring method for GNSS/IMU integrated navigation system of UAV[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2024 , 45(7) : 328943 -328943 . DOI: 10.7527/S1000-6893.2023.28943
1 | STANFORD D K. Unmanned aircraft systems[M]. Berlin:Springer Netherlands, 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 Technology, 2022, 125: 107143. |
3 | JIANG T, GELLER J, NI D H, et al. Unmanned aircraft system traffic management: Concept of operation and system architecture[J]. International Journal of Transportation Science and Technology, 2016, 5(3): 123-135. |
4 | ZHU N, MARAIS J, BéTAILLE D, et al. GNSS position integrity in urban environments: A review of literature[J]. IEEE Transactions on Intelligent Transportation Systems, 2018, 19(9): 2762-2778. |
5 | LIU W, GU M X, MOU M H, et al. A distributed GNSS/INS integrated navigation system in a weak signal environment[J]. Measurement Science and Technology, 2021, 32(11): 115108. |
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 environments[J]. Aerospace Science and Technology, 2021, 116: 106891. |
7 | 张文宇,孙蕊. 用于精细化无人机管控的GNSS/INS 组合导航定位及完好性监测算法[C]∥第十一届中国卫星导航年会论文集. 2020: 82-89. |
ZHANG W, SUN R. GNSS/IMU integrated navigation positioning and integrity monitoring algorithm for fine UAV management and control[C]∥Proceedings of the 11th Annual Meeting of China Satellite Navigation. 2020: 82-89 (in Chinese). | |
8 | CRISPOLTONI M, FRAVOLINI M, BALZANO F, et al. Interval fuzzy model for robust aircraft IMU sensors fault detection[J]. Sensors, 2018, 18(8): 2488. |
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]∥ Proceedings of the 31st International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+2018). Miami: Institute of Navigation, 2018: 2484-2500. |
10 | LEE J, KIM M, MIN D C, 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 Institute of Navigation (ION GNSS+ 2019). Miami: Institute of Navigation, 2019: 594-627. |
11 | LIU W, SONG D, WANG Z P, et al. Error overboundings of KF-based IMU/GNSS integrated system against IMU faults[J]. Sensors, 2019, 19(22): 4912. |
12 | JIANG H, LI T, SONG D, et al. An effective monitoring scheme for GNSS/INS/Vision integration based on error state EKF model[J]. IEEE Sensor Journal, 2022, 22(7): 7063-7073. |
13 | MENG Q, HSU L T. Integrity monitoring for all-source navigation enhanced by Kalman filter-based solution separation[J]. IEEE Sensors Journal, 2021, 21(14): 15469-15484. |
14 | WANG S Z, ZHAN X Q, ZHAI Y W, et al. Enhancing navigation integrity for urban air mobility with redundant inertial sensors[J]. Aerospace Science and Technology, 2022, 126: 107631. |
15 | ANGRISANO A, GAGLIONE S, CROCETTO N, et al. PANG-NAV: A tool for processing GNSS measurements in SPP, including RAIM functionality[J]. GPS Solutions, 2019, 24(1): 19. |
16 | ANGUS J E. RAIM with multiple faults[J]. Navigation, 2006, 53(4): 249-257. |
17 | WANG Z P, LI X, ZHU Y B, et al. Integrity monitoring of global navigation satellite system/inertial navigation system integrated navigation system based on dynamic fading filter optimisation[J]. IET Radar, Sonar & Navigation, 2022, 16(3): 515-530. |
18 | 许承东, 李怀建, 张鹏飞, 等. GNSS数学仿真原理及系统实现[M]. 北京: 中国宇航出版社, 2014. |
XU C D, LI H J, ZHANG P F, et al. Principle and system implementation of GNSS mathematical simulation[M]. Beijing: China Aerospace Publishing House,2014 (in Chinese). | |
19 | MA X P, YU K G, HE X X, et al. Development and evaluation of a generalized model of RAIM availability for single-, dual- and multi-satellite faults[J]. Measurement Science and Technology, 2022, 33(6): 065022. |
20 | ZHANG Q Q, ZHAO L, ZHOU J H. Improved method for single and multiple GNSS faults exclusion based on consensus voting[J]. Journal of Navigation, 2019, 72(4): 987-1006. |
21 | 宋丹 .SINS/GNSSs 组合导航算法研究及数学仿真[D].北京:北京理工大学,2017. |
SONG D. Algorithm study and mathematical simulation for SINS/GNSSs integrated navigation system[D]. Beijing: Beijing Institute of Technology, 2017 (in Chinese). | |
22 | 刘海颖, 冯成涛, 王惠南. 一种惯性辅助卫星导航系统及其完好性检测方法[J]. 宇航学报, 2011, 32(4): 775-780. |
LIU H Y, FENG C T, WANG H N. Method of inertial aided satellite navigation and its integrity monitoring[J]. Journal of Astronautics, 2011, 32(4): 775-780 (in Chinese). |
/
〈 |
|
〉 |