Skip to main content

Advertisement

Log in

Real-time center of buoyancy identification for optimal hovering in autonomous underwater intervention

  • Original Research Paper
  • Published:
Intelligent Service Robotics Aims and scope Submit manuscript

Abstract

This work addresses the problem of optimal positioning for an intervention AUV, minimizing the energy consumption and improving the stability in orientation. During a generic intervention task, the vehicle is generally maintained in a hovering configuration, thus requiring a 6 DOF control of the vehicle positioning. The choice of roll and pitch, if done arbitrarily, can severely impact the power efficiency of the vehicle, especially in heavy systems, since the center of buoyancy (COB) may not be necessarily aligned over the center of mass (COM). This approach uses an Extended Kalman Filter (EKF) to identify the location of the center of buoyancy relative to the center of mass, thus allowing to compute the working orientation that maintains the COB vertically aligned above the COM. The EKF is implemented online and hence is able to detect movements of the COB due for example to ballast operations. This algorithm has been firstly implemented in simulation and then successfully validated with the SAUVIM (Semi-Autonomous Underwater Vehicle for Intervention Missions) autonomous underwater vehicle. With its weight of about 4 tons, this testbed is an optimal platform for validating the precision of the filter, since a very small variation of the target pitch and roll results in a large restoring torque.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Antonelli G (2006) Underwater robots, 2nd edn. Springer, Berlin

    Google Scholar 

  2. Antonelli G, Caccavale F, Chiaverini S, Fusco G (2001) A novel adaptive control law for autonomous underwater vehicles. In: Proceedings of the IEEE international conference on robotics and automation, ICRA 2001, vol 1, pp 447–452. doi:10.1109/ROBOT.2001.932591

  3. Fjellstad OE, Fossen T (1994) Position and attitude tracking of auv’s: a quaternion feedback approach. IEEE J Oceanic Eng 19(4): 512–518. doi:10.1109/48.338387

    Article  Google Scholar 

  4. Fjellstad OE, Fossen T (1994) Singularity-free tracking of unmanned underwater vehicles in 6 dof. In: Proceedings of the 33rd IEEE conference on decision and control, 1994, vol 2, pp 1128–1133. doi:10.1109/CDC.1994.411068

  5. Fossen T, Balchen J (1991) The nerov autonomous underwater vehicle. In: Proceedings of the ocean technologies and opportunities in the Pacific for the 90’s, OCEANS ’91, pp 1414–1420

  6. Hanai A, Choi S, Marani G, Rosa K (2009) Experimental validation of model-based thruster fault detection for underwater vehicles. In: IEEE International Conference on Robotics and Automation, ICRA ’09, pp 194–199. doi:10.1109/ROBOT.2009.5152425

  7. Kwatny H, Blankenship G (1995) Symbolic construction of models for multibody dynamics. IEEE Trans Robot Autom 11(2): 271–281. doi:10.1109/70.370509

    Article  Google Scholar 

  8. Marani G (1997) Robosim: a program for simulating mechanical systems in robotics. Master’s thesis, University of Pisa

  9. Marani G (2000) Symbolic computation in system modelling, identification and control. PhD thesis, University of Pisa

  10. Marani G, Choi SK, Yuh J (2009) Underwater autonomous manipulation for intervention missions AUVS. Ocean Eng 36(1):15–23. doi:10.1016/j.oceaneng.2008.08.007, URL: http://www.sciencedirect.com/science/article/B6V4F-4T7F5PD-1/2/ce310fd84710cc86d5ffd871b95edd70, aUV

    Google Scholar 

  11. Sun Y, Cheah C (2003) Adaptive setpoint control for autonomous underwater vehicles. In: Proceedings fo the 42nd IEEE conference on decision and control, vol 2, pp 1262–1267. doi:10.1109/CDC.2003.1272782

  12. Yuh J, Choi SK (1999) Semi-autonomous underwater vehicle for intervention mission: an AUV that does more than just swim. Sea Technol 40(10): 37–42

    Google Scholar 

  13. Yuh J, Choi S, Ikehara C, Kim G, McMurty G, Ghasemi-Nejhad M, Sarkar N, Sugihara K (1998) Design of a semi-autonomous underwater vehicle for intervention missions (sauvim). In: Proceedings of the 1998 International Symposium on Underwater Technology, pp 63–68. doi:10.1109/UT.1998.670059

  14. Yuh J, Nie J, Lee C (1999) Experimental study on adaptive control of underwater robots. In: Proceedings of the IEEE international conference on robotics and automation, vol 1, pp 393–398. doi:10.1109/ROBOT.1999.770010

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Giacomo Marani.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Marani, G., Choi, S.K. & Yuh, J. Real-time center of buoyancy identification for optimal hovering in autonomous underwater intervention. Intel Serv Robotics 3, 175–182 (2010). https://doi.org/10.1007/s11370-010-0068-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11370-010-0068-1

Keywords

Navigation