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Redundancy and Fault-tolerant Design of Atmospheric Data for UAV Autonomous Flight

  • DUAN Yu 1 ,
  • WANG Jiagang 2 ,
  • SUN Lei 1 ,
  • JIANG Dongmei 1 ,
  • WANG Lingling 1 ,
  • KUANG Shujing 1
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  • 1 School of Electrical Engineering,Yancheng Institute of Technology, Yancheng 224001, Jiangsu, China
  • 2 Department of Precision Instrument,Tsinghua University, Beijing 100084, China

Received date: 2022-09-21

  Online published: 2025-02-25

Abstract

In order to solve the problem of atmospheric parameter information loss or large error caused by climate and electromagnetic wave in atmospheric data system, a redundant fault tolerant design of UAV based on dead reckoning algorithm was proposed. The equipment redundancy and data fault-tolerant design methods are used to improve the stability of the equipment, and the fault-tolerant Kalman filter is used to improve the measurement accuracy of the data. The original atmospheric parameters read by the sensor are filtered and their errors are analyzed, and the weight of each sensor is obtained. Finally, the optimal data value is obtained by information fusion according to the weight. Experimental data show that this method can improve the measurement accuracy, fault detection and real-time fault tolerance of the data, and can meet the requirements of unmanned aerial vehicle autonomous flight.

Cite this article

DUAN Yu , WANG Jiagang , SUN Lei , JIANG Dongmei , WANG Lingling , KUANG Shujing . Redundancy and Fault-tolerant Design of Atmospheric Data for UAV Autonomous Flight[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2022 , 42(6) : 75 -78 . DOI: 10.15892/j.cnki.djzdxb.2022.06.011

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[1]
何杏宇, 赵丹, 杨桂松, 等. 基于数据冗余控制的移动群智感知任务分配方法[J]. 计算机应用研究, 2022, 39(8):2381-2387.

[2]
张淑清. 基于哈希计算的大数据冗余消除算法设计[J]. 微型电脑应用, 2021, 37(12):68-70.

[3]
郝顺义, 柴竹琴. 某导航系统解析冗余与容错技术研究[J]. 弹箭与制导学报, 2002, 22(4):25-27.

[4]
胡永红. 数据融合方法在小型高度定位中的应用[J]. 计算机测量与控制, 2006, 14(10):1371-1373.

[5]
杜英魁, 刘鑫, 姚俊豪, 等. 一种面向实时数据冗余处理的参数化SES模型设计[J]. 现代电子技术, 2021, 44(20):88-92.

[6]
李国, 姜凯文, 王勇, 等. 无人机遥感组网冗余容错的研究[J]. 地理科学进展, 2021, 40(9):1480-1487.

DOI

[7]
王昕煜. 移动机器人多传感信息融合位姿估计与速度控制研究[D]. 无锡: 江南大学, 2021.

[8]
陈折桂, 王晶, 张伟功. 基于数据冗余性的近似计算技术[J]. 计算机工程与设计, 2021, 42(3):649-655.

[9]
乔文超, 王红雨, 王鸿东. 基于BP神经网络的无人机IMU多传感器冗余的补偿算法[J]. 电子测量与仪器学报, 2020, 34(12):19-28.

[10]
罗广地. 冗余式MEMS-IMU误差补偿关键技术研究[D]. 哈尔滨: 哈尔滨工程大学, 2021.

[11]
朱明红. 基于低成本IMU的通用多传感器集成动态定位关键技术研究[D]. 哈尔滨: 哈尔滨工程大学, 2021.

[12]
吴金其, 胡雷剑. 依托数据冗余校验的数字化变电站继保设备防误研究[J]. 电工技术, 2020(11):152-154.

[13]
KASHYAP C, JOSE M A, ELMAR H, et al. Less is more: an exploration of data redundancy with active dataset subsampling[J]. 2019, 7(3): 1905-0912.

[14]
VIANNA W O, YONEYAMA T. Predictive maintenance optimization for aircraft redundant systems subjected to multiple wear profiles[J]. IEEE Systems Journal, 2018, 12(2): 1170-1181.

[15]
欧连军, 曾贵明, 梁君. 一种嵌入式大气数据系统余度设计方案[J]. 宇航计测技术, 2016, 36(2):49-52.

[16]
刘蓉, 陆宇平, 肖前贵. 高适应性低成本大型无人机导航与控制系统[J]. 南京航空航天大学学报, 2009, 41(S1):19-23.

[17]
胡丹丹, 顾圆, 高庆吉. 基于容错卡尔曼滤波的校验无人机精确测高法[J]. 中国民航大学学报, 2019, 37(3):17-21.

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