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A Novel Constrained Filter Integrated with an Extended Kalman Filter in Underground Pipeline Navigation Using MEMS IMU

Gyroscopy and Navigation volume 13, pages 7–22 (2022)Cite this article

Abstract—

To produce a 3D map of the Tehran’s first gas transfer pipeline (Tehran—Kuhnamak), a methodology has been developed in this research, in which a strapdown inertial navigation system (SINS) based on micro-electro-mechanical system (MEMS) and inertial measurement unit (IMU) is applied on pipeline inspection gauges (PIGs) to sense data every 4 millimeters of 111 kilometers of the whole pipeline. The navigation solution is based on an extended Kalman filter (EKF) using Allan variance (AVAR) to analyze and tune the EKF initial inputs. A new constrained PIG filter (CPF) is proposed in this paper in integration with EKF, in which two Euler angles (pitch and yaw) of the PIG are updated due to non-holonomic state constraints between pipe junctions. Besides, 98 magnetic control points have been used to increase robustness about every kilometer, which is coordinated by GPS. Furthermore, odometer measurements have been employed as measurements in the EKF. The results show that using such a hybrid approach has improved the PIG positioning accuracy by about 81% compared with that of the Basic EKF. In addition, positioning accuracy in comparison with the latest methods like EKF/pipeline junctions (PLJ) has increased by 32%. Furthermore, the proposed method is 55% better than EKF/PLJ in the algorithm runtime.

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ACKNOWLEDGMENTS

The data for research have been provided by Segal Processing Engineering Company [25] which is the first indigenous and national manufacturer of PIG in Iran. The operator and owner of the mentioned gas pipeline is Iranian Gas Transmission Company (IGTC) [26].

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Authors and Affiliations

  1. GIS Department, School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, Iran

    I. H. Afshar

  2. Center of Excellence in Geomatic Engineering in Disaster Management, School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, Iran

    M. R. Delavar

  3. Center of Excellence in Electrical and Computer Engineering, School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran

    B. Moshiri

Authors
  1. I. H. Afshar
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  2. M. R. Delavar
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  3. B. Moshiri
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Correspondence to I. H. Afshar, M. R. Delavar or B. Moshiri.

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Some or all data, models, or codes used during the study were provided by a third party. Direct requests for these materials may be made to the provider as indicated in the Acknowledgements.

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Afshar, I.H., Delavar, M.R. & Moshiri, B. A Novel Constrained Filter Integrated with an Extended Kalman Filter in Underground Pipeline Navigation Using MEMS IMU. Gyroscopy Navig. 13, 7–22 (2022). https://doi.org/10.1134/S2075108722010023

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  • DOI: https://doi.org/10.1134/S2075108722010023

Keywords:

  • EKF
  • odometer
  • navigation constraint
  • MEMS IMU
  • CPF
  • PLJ
  • SINS