Aeromagnetic system for a Multi-rotor unmanned aerial vehicle based on the Overhauser sensor

被引:12
|
作者
Ge, J. [1 ,2 ,3 ]
Li, H. [1 ]
Luo, W. [1 ,3 ]
Dong, H. [1 ,2 ,3 ]
Liu, H. [1 ]
Wang, H. [1 ]
Wang, W. [1 ]
Yuan, Z. [3 ]
Zhu, J. [3 ]
Zhang, H. [3 ]
机构
[1] China Univ Geosci, Sch Automat, Lumo Rd, Wuhan 430074, Peoples R China
[2] Hubei Key Lab Adv Control & Intelligent Automat C, Lumo Rd, Wuhan 430074, Peoples R China
[3] Sci & Technol Near Surface Detect Lab, Tonghuixi Rd, Wuxi 214035, Peoples R China
基金
中国国家自然科学基金;
关键词
Detector design and construction technologies and materials; Instrument optimisation; Manufacturing; Space instrumentation; AIRCRAFT SYSTEM; BASIN;
D O I
10.1088/1748-0221/14/01/P01015
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
Aeromagnetic surveys using unmanned aerial vehicles (UAV) can be used in low-altitude detailed detection of small-scale magnetic anomalies and offers an auxiliary means for geomagnetic survey on land. However, excessive weight of the detection instruments and strong magnetic interference remain problems. To address them, an aeromagnetic system for a multi-rotor UAV based on the Overhauser sensor was designed. To ensure aeromagnetic surveys have high precision and are omnidirectional and fast, a miniaturized Overhauser sensor and a narrow-band tuned filter were designed and a short-time high-precision measurement method was proposed. Furthermore, the ridge regression is used to reduce the adverse effects of multicollinearity and enhance the stability of the compensation coefficient estimators. Both laboratory and flight tests were conducted. Overall, the results show that the static and dynamic noise is 0.029 nT, 0.041 nT, respectively, and the improvement ratio of aeromagnetic interference is 4.38 in the dynamic tests; a test of iron pipe detection was performed to verify the overall performance of the aeromagnetic system.
引用
收藏
页数:17
相关论文
共 50 条
  • [1] COMPARATIVE ANALYSIS OF PROPULSIVE SYSTEM IN MULTI-ROTOR UNMANNED AERIAL VEHICLE
    Sonaimuthu, Balaji
    Panchalingam, Prabhagaran
    Raja, Vijayanandh
    PROCEEDINGS OF THE ASME GAS TURBINE INDIA CONFERENCE, 2019, VOL 2, 2020,
  • [2] Design and Development of a Multi-rotor Unmanned Aerial Vehicle System for Bridge Inspection
    Chen, Jie
    Wu, Junjie
    Chen, Gang
    Dong, Wei
    Sheng, Xinjun
    INTELLIGENT ROBOTICS AND APPLICATIONS, ICIRA 2016, PT I, 2016, 9834 : 498 - 510
  • [3] Vision-based pose estimation of a multi-rotor unmanned aerial vehicle
    Gupta, Kashish
    Emran, Bara Jamal
    Najjaran, Homayoun
    INTERNATIONAL JOURNAL OF INTELLIGENT UNMANNED SYSTEMS, 2019, 7 (03) : 120 - 132
  • [4] A procedure for power consumption estimation of multi-rotor unmanned aerial vehicle
    Chan, C. W.
    Kam, T. Y.
    10TH ASIAN-PACIFIC CONFERENCE ON AEROSPACE TECHNOLOGY AND SCIENCE & THE 4TH ASIAN JOINT SYMPOSIUM ON AEROSPACE ENGINEERING (APCATS'2019 /AJSAE'2019), 2020, 1509
  • [5] Wheat Growth Monitoring and Yield Estimation based on Multi-Rotor Unmanned Aerial Vehicle
    Fu, Zhaopeng
    Jiang, Jie
    Gao, Yang
    Krienke, Brian
    Wang, Meng
    Zhong, Kaitai
    Cao, Qiang
    Tian, Yongchao
    Zhu, Yan
    Cao, Weixing
    Liu, Xiaojun
    REMOTE SENSING, 2020, 12 (03)
  • [6] A Computational Study on the Aeroacoustics of a Multi-Rotor Unmanned Aerial System
    Heydari, Morteza
    Sadat, Hamid
    Singh, Rajneesh
    APPLIED SCIENCES-BASEL, 2021, 11 (20):
  • [7] Ergonomic Impact of Multi-rotor Unmanned Aerial Vehicle Noise in Warehouse Environments
    Callanan, Jesse
    Ghassemi, Payam
    DiMartino, James
    Dhameliya, Maulikkumar
    Stocking, Christina
    Nouh, Mostafa
    Chowdhury, Souma
    JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2020, 100 (3-4) : 1309 - 1323
  • [8] Chemical Control of Ceratovacuna lanigera Zehntner with Multi-rotor Unmanned Aerial Vehicle
    An Yuxing
    Sun Donglei
    Zhao Huanhuan
    Gong Hengliang
    Chen Lijun
    Lu Yinglin
    Plant Diseases and Pests, 2017, (05) : 6 - 10
  • [9] Investigation of wind and sound field characteristics of multi-rotor unmanned aerial vehicle
    Cao H.
    Cheng H.
    Zhu W.
    Noise and Vibration Worldwide, 2020, 51 (7-9): : 158 - 163
  • [10] Track planning of multi-rotor unmanned aerial vehicle in the complex environment space
    Chu, Yue
    Han, Zhonghua
    Yang, Liying
    INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL, 2021, 37 (01) : 57 - 68