UWB-Based Localization System Aided With Inertial Sensor for Underground Coal Mine Applications

Robotic mining equipment plays an increasingly important role in the coal mining industry. Due to the complexity of the confined underground environment, available localization methods are limited, and restrict the development of coal mine robots (CMRs). Ultra-wideband (UWB) is a promising positioni...

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Bibliographic Details
Published in:IEEE sensors journal 2020-06, Vol.20 (12), p.6652-6669
Main Authors: Li, Meng-Gang, Zhu, Hua, You, Shao-Ze, Tang, Chao-Quan
Format: Article
Language:English
Subjects:
Accuracy
coal mine robot
Coal mines
Coal mining
Degrees of freedom
EKF
ESKF
Field tests
Global positioning systems
GPS
IMU
Inertial platforms
Inertial sensing devices
Kalman filters
Localization
Mining industry
Mining machinery
Mobile nodes
Odometers
Position measurement
Robots
Robustness
Satellite navigation systems
Sensors
State estimation
Ultrawideband
Underground mines
UWB
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Summary:Robotic mining equipment plays an increasingly important role in the coal mining industry. Due to the complexity of the confined underground environment, available localization methods are limited, and restrict the development of coal mine robots (CMRs). Ultra-wideband (UWB) is a promising positioning sensor with high ranging accuracy. However, current applications about UWB positioning in coal mine focus mainly on position information, but rarely on orientation information. Positioning accuracy is often plagued by the loss of transmitted signals and multipath effects. In this paper, a pseudo-GPS positioning system in underground coal mine, composed by noisy UWB range measurements, is proposed to provide localization service for CMRs. An Error-State Kalman Filter (ESKF) is used for fusing measurements from the inertial measurement unit (IMU) and the established UWB positioning system. Then the complete six degree of freedom (6-DOF) state estimation can be realized. Meanwhile the biases of the IMU and the translation parameters of IMU w.r.t. UWB mobile node are also estimated online to adapt to long-term operation in harsh underground environments. In addition, an UWB anchor optimal deployment strategy is discussed to deploy UWB nodes appropriately in the laneway, and maintain realistic positioning accuracy for CMR in the meantime. A large number of field tests in different environments including the actual underground coal mine were conducted. The experimental results showed that our method could obtain the pose estimation performance close to the state-of-the-art lidar odometry approach that has been currently utilized in underground coal mine, providing robust and precise localization estimation for CMR applications.
ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2020.2976097