DOI QR코드

DOI QR Code

URI-T, 해저 케이블 매설용 ROV의 선수각 제어 및 실해역 검증

Heading Control of URI-T, an Underwater Cable Burying ROV: Theory and Sea Trial Verification

  • 조건래 (한국로봇융합연구원 해양로봇연구본부) ;
  • 강형주 (한국로봇융합연구원 해양로봇연구본부) ;
  • 이문직 (한국로봇융합연구원 해양로봇연구본부) ;
  • 이계홍 (한국로봇융합연구원 해양로봇연구본부)
  • Cho, Gun Rae (Marine Robotics R&D Division, Korea Institute of Robot and Convergence) ;
  • Kang, Hyungjoo (Marine Robotics R&D Division, Korea Institute of Robot and Convergence) ;
  • Lee, Mun-Jik (Marine Robotics R&D Division, Korea Institute of Robot and Convergence) ;
  • Li, Ji-Hong (Marine Robotics R&D Division, Korea Institute of Robot and Convergence)
  • 투고 : 2019.01.27
  • 심사 : 2019.04.11
  • 발행 : 2019.04.30

초록

When burying underwater cables using robots, heading control is one of the key functions for the robots to improve task efficiency. This paper addresses the heading control issue for URI-T, an ROV for underwater construction tasks, including the burial and maintenance of cables or small diameter pipelines. Through modeling and identifying the heading motion of URI-T, the dynamic characteristics and input limitation are analyzed. Based on the identification results, a PD type controller with appropriate input treatment is designed for the heading control of URI-T. The performance of the heading controller was verified in water tank experiments. The field applicability of the proposed controller was also evaluated through the sea trial of URI-T at the East Sea, with a water depth of 500 m.

키워드

참고문헌

  1. Choi, K.T., Kim, M.J., 1997. A Study on the Submarine Optical Cable Construction. Proceedings of Korea Institute of Communication Science Conferece, 246-252.
  2. Christ, R.D., Wernli, R.L., 2014. The ROV Manual: A User Guide for Remotely Operated Vehicles. 2nd Edition, Elsevier.
  3. Garnier, H., Mensler, M., Richard, A., 2003. Continuous-time Model Identification from Sampled Data: Implementation Issues and Performance Evaluation. International Journal of Control, 76(13), 1337-1357. https://doi.org/10.1080/0020717031000149636
  4. Fossen, T.I., 1994. Guidance and Control of Ocean Cehicles. John Wiley & Sons.
  5. Kang, H.J., Lee, M.-J., Ki, H., Kim, M.-G., Cho, G.R., Li, J.-H., 2018. URI-T, a ROV for Underwater Cable Burying Tasks: Development and Performance Evaulation through Sea Trial. Proceedings of Korean Marine obot Technology Society Fall Conference, 63-65.
  6. Kim, J., Chung, W.K., 2006. Accurate and Practical Thruster Modeling for Underwater Vehicles. Ocean Engineering, 33(5-6), 566-586. https://doi.org/10.1016/j.oceaneng.2005.07.008
  7. Kim, K.-H., Song, Y.-U., Kim, M.-Y., Kim, M.-E., 2012. Trend of Industry and Standard Related to Offshore Cable for Offshore Wind Farm. Journal of Wind Energy, 3(2), 11-17.
  8. Kwon T.W., Kim, W.K., Yoo, S.H., Lim, H.E., Jeong, H.W., 2002. Study for Maintenance of HVDC Submarine Cable. Proceedings of Korean Institute of Electrical Engineers Summer Conference, 557-559.
  9. Lee, S.-U., Chang, P.H., 2002. Control of a Heavy-duty Robotic Excavator Using Time Delay Control with Integral Sliding Surface. Control Engineering Practice, 10(7), 697-711. https://doi.org/10.1016/S0967-0661(02)00027-8
  10. Rao, G.P., Unbehauen, H., 2006. Identification of Continuous-time Systems. IEE Proceedings - Control Theory and Applications, 153(2), 185-220. https://doi.org/10.1049/ip-cta:20045250
  11. Soderstrom, T., Stoica, P., 2002. Instrumental Variable Methods for System Identification. Circuits, Systems, and Signal Processing, 21(1), 1-9. https://doi.org/10.1007/BF01211647
  12. Unbehauen, H., Rao, G.P., 1998. A Review of Identification in Continuous-time Systems. Annual Reviews in Control, 22, 145-171. https://doi.org/10.1016/S1367-5788(98)00015-7
  13. Yuh, J., 2000. Design and Control of Autonomous Underwater Robots: a Survey. Autonomous Robots, 8(1), 7-24. https://doi.org/10.1023/A:1008984701078