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Development of Hovering AUV Test-bed for Underwater Explorations and Operations

  • Byun, Seung-Woo (Samsung Thales, Naval/System R&D Center) ;
  • Choi, Hyeung-Sik (Department of Mechanical and Energy System Engineering, Korea Maritime and Ocean University) ;
  • Kim, Joon-Young (Division of Marine Equipment Engineering, Korea Maritime and Ocean University)
  • Received : 2013.09.16
  • Accepted : 2013.11.11
  • Published : 2013.11.30

Abstract

This paper describes the design and control of a hovering AUV test-bed and analyzes the dynamic performance of the vehicle using simulation programs. The main purpose of this vehicle is to carry out fundamental tests of its station keeping, attitude control, and desired position tracking. Its configuration is similar to the general appearance of an ROV for underwater operations, and its dimensions are $0.75m{\times}0.5m{\times}0.5m$. It has four 450-W thrusters for longitudinal/lateral/vertical propulsion and is equipped with a pressure sensor for measuring the water depth and a magnetic compass for measuring its heading angle. The navigation of the vehicle is controlled by an onboard Pentium III-class computer, which runs with the help of the Windows XP operating system. This provides an appropriate environment for developing the various algorithms needed for developing and advancing a hovering AUV.

Keywords

References

  1. Negahdaripour, S., H. Madjidi. 2003. "Stereovision Imaging on Submersible Platforms for 3-D Mapping of Benthic Habitats and Sea-Floor Structures," IEEE Journal of Oceanic Engineering, 28, 4, 625-650 https://doi.org/10.1109/JOE.2003.819313
  2. Smallwood, D.A., L.L. Whitcomb. 2003. "Adaptive Identification of Dynamically Positioned Un-derwater Robotic Vehicles," IEEE Transactions on Control Systems Technology, 11, 4, 505-515. https://doi.org/10.1109/TCST.2003.813377
  3. Bulich, C., A. Klein, R. Watson and C. Kitts. 2004. "Characterization of Delay-Induced Piloting Instability for the Triton Undersea Robot," Proceedings of the 2004 IEEE Aerospace Conference, 1, 409-423.
  4. Marks, R.L., S.M. Rock and M.J. Lee. 1995. "Realtime Video Mosaicking of the Ocean Floor," IEEE Journal of Oceanic Engineering, 20, 3, 229-241. https://doi.org/10.1109/48.393078
  5. Kim, T.W. and J. Yuh. 2001. "A Novel Neuro-Fuzzy Controller for Autonomous Underwater Vehicles," International Conference on Robotics & Automation, 2350-2355.
  6. Gertler, M. and G.R. Hagen. 1967. "Standard Equation of Motion for Submarine Simulations," NSRDC Report No. 2510
  7. Feldman, J. 1979. "DTNSRDC Revised Standard Submarine Equations of Motion," DTNSRDC/SPD-0393-09
  8. Healey, A.J. and D. Lienard. 1993. "Multivariable Sliding Mode Control for Autonomous Diving and Steering of Unmanned Underwater Vehicles," IEEE Journal of Oceanic Engineering. 18, 3, 327-339. https://doi.org/10.1109/JOE.1993.236372
  9. Kim, J.Y., Kim, K.H., Choi, H.S., Seong, W.J., and Lee, K.Y. 2002. "Estimation of Hydrodynam-ic Coefficients for an AUV Using Nonlinear Observers," IEEE Journal of Oceanic Engineering, 27, 4, 830-840. https://doi.org/10.1109/JOE.2002.805098
  10. Yoerger, D.R., J.J.E. Slotine. 1985. "Robust Trajectory Control of Underwater Vehicles," IEEE Journal of Oceanic Engineering, 10, 4, 462-470. https://doi.org/10.1109/JOE.1985.1145131
  11. Cristi, R., F.A. Papoulias and A.J. Healey. 1990. "Adaptive Sliding Mode Control of Autonomous Underwater Vehicles in the Dive Plane," IEEE Journal of Oceanic Engineering, 15, 3, 152-160. https://doi.org/10.1109/48.107143
  12. Marco, D.B., A.J. Healey. 2001. "Command, Control, and Navigation Experimental Results with the NPS ARIES AUV," IEEE Journal of Oceanic Engineering, 26, 4, 466-476. https://doi.org/10.1109/48.972079
  13. Lee, P.M., S.W. Hong, Y.K. Lim, C.M. Lee, B.H. Jeon, and J.W. Park. 1999, "Discrete-Time Quasi-Sliding Mode Control of an Autonomous Under-water Vehicle," IEEE Journal of Oceanic Engineering, 24, 3, 388-395. https://doi.org/10.1109/48.775300
  14. Lea, R.K., R. Allen and S.L. Merry. 1999. "A Comparative Study of Control Techniques for an Underwater Flight Vehicle," International Journal of System Science, 30, 9, 947-964. https://doi.org/10.1080/002077299291831
  15. Smith, S.M., G.J.S. Rae, D.T. Anderson and A.M. Shein. 1994. "Fuzzy Logic Control of an Autonomous Underwater Vehicle," Control Engineering Practice, 2, 321-331. https://doi.org/10.1016/0967-0661(94)90214-3