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Drone-based Power-line Tracking System

드론 기반의 전력선 추적 제어 시스템

  • Jeong, Jongmin (School of Electrical and Electronic Engineering, Yonsei University) ;
  • Kim, Jaeseung (School of Electrical and Electronic Engineering, Yonsei University) ;
  • Yoon, Tae Sung (Department of Electrical Engineering, Changwon National University) ;
  • Park, Jin Bae (School of Electrical and Electronic Engineering, Yonsei University)
  • Received : 2018.02.27
  • Accepted : 2018.05.17
  • Published : 2018.06.01

Abstract

In recent years, a study of power-line inspection using an unmanned aerial vehicle (UAV) has been actively conducted. However, relevant studies have been conducting power-line inspection with an UAV operated by manual control, and they have developed just power-line detection algorithm on aerial images. To overcome limitations of existing research, we propose a drone-based power-line tracking system in this paper. The main contributions of this paper are to operate developed system under configured environment and to develop a power-line detection algorithm in real-time. Developed system is composed of the power-line detection and the image-based tracking control. To detect a power-line in real-time, a region of interest (ROI) image is extracted. Furthermore, clustering algorithm is used in order to discriminate the power-line from background. Finally, the power-line is detected by using the Hough transform, and a center position and a tilt angle are estimated by using the Kalman filter to control a drone smoothly. We design a position controller and an attitude controller for image-based tracking control, and both controllers are designed based on the proportional-derivative (PD) control method. The interaction between the position controller and the attitude controller makes the drone track the power-line. Several experiments were carried out in environments where conditions are similar to actual environments, which demonstrates the superiority of the developed system.

Acknowledgement

Supported by : 한국연구재단

References

  1. J. Katrasnik, F. Pernus, and B. Likar, "A survey of mobile robots for distribution power line inspection," IEEE Trans. On Power Delivery, Vol. 25, No. 1, pp. 485-493, 2010. https://doi.org/10.1109/TPWRD.2009.2035427
  2. J. Sawada, K. Kusumoto, T. Munakata, Y. Maikawa, and Y. Ishikawa, "A mobile robot for inspection of power transmission lines," IEEE Trans. On Power Delivery, Vol. 6, No. 1, pp. 309-315, 1991. https://doi.org/10.1109/61.103753
  3. S. Yunlin, C. Jinen, and S. Dawei, "Patrol inspection of EHV electric power transmission line with helicopter in North China Power Network," Electric Power, 2003.
  4. P. Debenest, M. Guarnieri, K. Takita, E. F. Fukushima, S. Hirose, K. Tamura, A. Kimura, H. Kubokawa, N. Iwama, and F. Shiga, "Expliner-Robot for inspection of transmission lines," IEEE Conf. On Robotics and Automation, pp. 3978-3984, 2008.
  5. L. Wang, S. Cheng, and J. Zhang, "Development of a Line-Walking Mechanism for Power Transmission Line Inspection Purpose," IEEE Conf. On Intelligent Robots and Systems, pp. 3323-3328, 2009.
  6. A. Mostashfi, A. Fakhari, and M. A. Badri, "A novel design of inspection robot for high-voltage power lines," Industrial Robot: An International Journal of Robotics Research and Application, Vol. 41, No. 2, pp. 166-175, 2014. https://doi.org/10.1108/IR-08-2013-386
  7. R. Ishino, and F. Tsutsumi, "Detection system of damaged cables using video obtained from an aerial inspection of transmission lines," IEEE Power Engineering Society General Meeting, Vol.2, pp. 1857-1862, 2004.
  8. B. Wang, X. Chen, Q. Wang, L. Liu, H. Zhang, and B. Li, "Power line inspection with a flying robot," International Conf. On Applied Robotics for the Power Industry, pp. 1-6, 2010.
  9. J. Katrasnik, F. Pernus, and B. Likar, "New Robot for Power Line Inspection," IEEE Conf. On Robotics, Automation and Mechatronics, pp. 1195-1200, 2008.
  10. S. Hrabar, T. Merz, and D. Frousheger, "Development of an autonomous helicopter for aerial powerline inspections," International Conf. On Applied Robotics for the Power Industry, pp. 1-6, 2010.
  11. Z. Li, Y. Liu, R. Hayward, J. Zhang, and J. Cai, "Knowledge-based power line detection for UAV surveillance and inspection systems," International Conf. Image and Vision Computing New Zealand, pp. 1-6, 2008.
  12. J. Zhang, L. Liu, B. Wang, X. Chen, Q. Wang, and T. Zheng, "High Speed Automatic Power Line Detection and Tracking for a UAV-Based Inspection," International Conf. On Industrial Control and Electronics Engineering, pp. 266-269, 2012.
  13. T. W. Yang, H. Yin, Q. Q. Ruan, J. D. Han, J. T. Qi, Q. Yong, Z. T. Wang, and Z. Q. Sun, "Overhead power line detection from UAV video images," International Conf. On Mechatronics and Machine Vision in Practice, pp. 74-79, 2012.
  14. L. F. Luque-Vega, B. Castillo-Toledo, A. Loukianov, and L. E. Gonzalez-Jimenez, "Power line inspection via an unmanned aerial system based on the quadrotor helicopter," IEEE Mediterranean Electrotechnical Conference, pp. 393-397, 2014.
  15. J. Lee, "Innovates 4th industrial revolution in electric power industry," Electric Power, vol. 11, pp. 50-53, 2017.
  16. "Drone(unmanned aerial vehicle) is utilized in electric equipment inspection," The Korean Institute of Electrical Engineering, vol. 63, no. 10, pp. 10-13, 2014. https://doi.org/10.5370/KIEE.2014.63.1.010
  17. C. W. Chen, J. Luo, and KJ. Parker, "Image segmentation via adaptive K-means clustering and knowledge-based morphological operations with biomedical applications," IEEE Trans. On Image Processing, Vol. 7, No. 12, pp. 1673-1683, 1998. https://doi.org/10.1109/83.730379
  18. J. Illingworth, and J. Kittler, "A survey of the hough transform," Computer Vision, Graphics, and Image Processing, Vol. 44, No. 1, pp. 87-116, 1988. https://doi.org/10.1016/S0734-189X(88)80033-1
  19. R. E. Kalman, "A New Approach to Linear Filtering and Prediction Problems," Journal of Basic Engineering, Vol. 82, No. 1, pp. 35-45, 1960. https://doi.org/10.1115/1.3662552
  20. J. Li, and Y. Li, "Dynamic Analysis and PID Control for a Quadrotor," IEEE Conf. On Mechatronics and Automation, pp. 573-578, 2011.
  21. L. E. Romero, D. F. Pozo, and J. A. Rosales, "Quadcopter stabilization by using PID controllers," Universidad de Cuenca, 2015.