A low-cost, redundant inertial measurement unit for unmanned air vehicles

被引:64
|
作者
Sukkarieh, S [1 ]
Gibbens, P [1 ]
Grocholsky, B [1 ]
Willis, K [1 ]
Durrant-Whyte, HF [1 ]
机构
[1] Univ Sydney, Australian Ctr Field Robot, Dept Mech & Mechatron Engn, Sydney, NSW 2006, Australia
来源
关键词
inertial measurement unit; redundancy; global positioning system; information filter; autonomous systems; UAV;
D O I
10.1177/02783640022067995
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
This paper discusses the development of a low-cost, redundant, strapdown inertial measurement unit (IMU). The unit comprises four ceramic vibrating structure gyroscopes and four QLC 400 accelerometers configured on a truncated tetrahedron design. This design allows for the optimal configuration of the eight sensors. which in turn provides for a theoretical 33% increase in information. The redundant sensor configuration also allows for fault detection, which is required for many autonomous applications. This initiative is a precursor for future developments with more sensors to provide fault isolation. The paper will also present a navigation system implementing the redundant IMU with the global positioning system. Results are provided of this navigation system being implemented in an unmanned air vehicle.
引用
收藏
页码:1089 / 1103
页数:15
相关论文
共 50 条
  • [41] Low Cost Inertial Measurement Unit for Motion Capture in Biomedical Applications
    Lourenco, Joao
    Martins, Leonardo
    Almeida, Rui
    Quaresma, Claudia
    Vieira, Pedro
    TECHNOLOGICAL INNOVATION FOR CYBER-PHYSICAL SYSTEMS, 2016, 470 : 151 - 158
  • [42] Deep Neural Network Based Inertial Odometry Using Low-Cost Inertial Measurement Units
    Chen, Changhao
    Lu, Chris Xiaoxuan
    Wahlstrom, Johan
    Markham, Andrew
    Trigoni, Niki
    IEEE TRANSACTIONS ON MOBILE COMPUTING, 2021, 20 (04) : 1351 - 1364
  • [43] Design and Implementation of Low-Cost Phasor Measurement Unit: PhasorsCatcher
    Schofield, David
    Mohapatra, Debashish
    Chamorro, Harold R.
    Roldan-Fernandez, Juan Manuel
    Abdellah, Kouzou
    Gonzalez-Longatt, Francisco
    ENERGIES, 2022, 15 (09)
  • [44] A Non-inertial Acceleration Suppressor for Low Cost Inertial Measurement Unit Attitude Estimation
    Valenti, Roberto G.
    Dryanovski, Ivan
    Xiao, Jizhong
    2013 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO), 2013, : 639 - 644
  • [45] Low-Cost, Quantitative Assessment of Highway Bridges through the Use of Unmanned Aerial Vehicles
    Ellenberg, Andrew
    Kontsos, Antonios
    Moon, Franklin
    Bartoli, Ivan
    HEALTH MONITORING OF STRUCTURAL AND BIOLOGICAL SYSTEMS 2016, 2016, 9805
  • [46] Compact Low-Cost Non-RF Communication Solutions for Unmanned Ground Vehicles
    Chand, Naresh
    DeLuck, Todd
    Hunton, Andrew J.
    Eteson, Bruce M.
    Moriarty, Daniel T.
    Carlson, Robert T.
    MILITARY COMMUNICATIONS CONFERENCE, 2010 (MILCOM 2010), 2010, : 1577 - 1582
  • [47] Investigating the Utility Potential of Low-Cost Unmanned Aerial Vehicles in the Temporal Monitoring of a Landfill
    Incekara, Abdullah Harun
    Delen, Ahmet
    Seker, Dursun Zafer
    Goksel, Cigdem
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2019, 8 (01)
  • [48] A Novel Algorithm for the Fault Diagnosis of a Redundant Inertial Measurement Unit
    Hu X.
    Zhang X.
    Peng X.
    Yang D.
    Zhang, Xiaoli (zhxl@xmu.edu.cn), 1600, Institute of Electrical and Electronics Engineers Inc., United States (08): : 46081 - 46091
  • [49] Two-mode navigation method for low-cost inertial measurement unit-based indoor pedestrian navigation
    Xu, Yuan
    Chen, Xiyuan
    Wang, Yimin
    SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, 2016, 92 (09): : 839 - 848
  • [50] 2-Level error (drift) compensation for low-cost MEMS-based inertial measurement unit (IMU)
    Agusmian Partogi Ompusunggu
    Abdellatif Bey-Temsamani
    Microsystem Technologies, 2016, 22 : 1601 - 1612