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Modeling and Identification of an Open-frame Underwater Vehicle: The Yaw Motion Dynamics

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Abstract

A semi-autonomous unmanned underwater vehicle (UUV), named LAURS, is being developed at the Laboratory of Sensors and Actuators at the University of Sao Paulo. The vehicle has been designed to provide inspection and intervention capabilities in specific missions of deep water oil fields. In this work, a method of modeling and identification of yaw motion dynamic system model of an open-frame underwater vehicle is presented. Using an on-board low cost magnetic compass sensor the method is based on the utilization of an uncoupled 1-DOF (degree of freedom) dynamic system equation and the application of the integral method which is the classical least squares algorithm applied to the integral form of the dynamic system equations. Experimental trials with the actual vehicle have been performed in a test tank and diving pool. During these experiments, thrusters responsible for yaw motion are driven by sinusoidal voltage signal profiles. An assessment of the feasibility of the method reveals that estimated dynamic system models are more reliable when considering slow and small sinusoidal voltage signal profiles, i.e. with larger periods and with relatively small amplitude and offset.

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References

  1. Souza, E.C., Maruyama, N.: Intelligent UUVs: some issues on ROV dynamic positioning. IEEE Trans. Aerosp. Electron. Syst. 43, 214–226 (2007)

    Article  Google Scholar 

  2. Avila, J.P.J.: Estimação de coeficientes hidrodinâmicos de um veículo submarino semi-autônonomo (in Portuguese). MSc thesis, Escola Politécnica, Universidade de São Paulo (2003)

  3. Avila, J.P.J.: Modelagem e identificação de parâmetros hidrodinâmicos de um veículo robótico submarino (in Portuguese). PhD thesis, Escola Politécnica, Universidade de São Paulo (2008)

  4. Avila, J.P.J., Avila, J.A.J., Maruyama, N., Adamowski, J.C.: Hydrodynamic parameter estimation of an unmanned underwater vehicle: a towing tank approach. In: Proceedings of the 18th International Congress of Mechanical Engineering, COBEM (2005)

  5. Avila, J.P.J., Maruyama, N., Adamowski, J.C.: Hydrodynamic parameter estimation of an open frame unmanned underwater vehicle. In: 17th IFAC World Congress, IFAC (2008)

  6. Saito, M., Takase, F.K., Maruyama, N.: UUV task definition using metaprogramming. In: Proceedings of the 19th International Congress of Mechanical Engineering, COBEM (2007)

  7. Nomoto, M., Hattori, M.: A deep ROV “Dolphin 3K”: design and performance analysis. IEEE J. Oceanic Eng. 11(3), 373–391 (1986)

    Article  Google Scholar 

  8. Caccia, M., Indiveri, G., Veruggio, G.: Modelling and identification of open-frame variable configuration underwater vehicles. IEEE J. Oceanic Eng. 25(2), 227–240 (2000)

    Article  Google Scholar 

  9. Fossen, T.I.: Guidance and Control of Ocean Vehicles. John Wiley & Sons (1994)

  10. Gertler, M., Hagen, G.: Standard equations of motion for submarine simulation. David Taylor Naval Ship Research and Development Center Tech. Rep., Defense Tech. Inform. Center Doc. 653 861 (1967)

  11. Ridao, P., Tiano, A., Fakid, A.E., Carreras, M., Zirilli, A.: On the identification of non-linear models of unmanned underwater vehicles. Control Eng. Pract. 12, 1483–1499 (2004)

    Article  Google Scholar 

  12. Mišković, N., Vukić, Z., Barišić, M.: Identification of coupled mathematical models for underwater models. In: Proceedings of the IEEE/AES Oceans Europe (2007)

  13. Barros, E.A., Dantas, J.D., Pascoal, A., Sá, E.: Investigation of normal force and moment coefficients for an AUV at nonlinear angle of attack and sideslip range. Control Eng. Pract. 33, 538–549 (2004)

    Google Scholar 

  14. Inoue, T., Suzuki, H., Kitamoto, R., Watanabe, Y., Yoshida, H.: Hull form design of underwater vehicle applying CFD (Computational Fluid Dynamics). In: Proceedings of the IEEE OCEANS (2010)

  15. Narendra, K., Annaswamy, A.: Stable Adaptive Systems. Prentice-Hall (1988)

  16. Sastry, S., Bodson, M.: Adaptive control: Stability, Convergence and Robustness. Prentice-Hall (1989)

  17. Smallwood, D.A., Whitcomb, L.L.: Preliminary experiments in the adaptive identification of dynamically positioned underwater robotic vehicles. In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems 2001, vol.4, pp. 1803–1810. Maui, HI (2001)

  18. Smallwood, D.A., Whitcomb, L.L.: Adaptive identification of dynamically positioned underwater robotic vehicles. IEEE Trans. Control Syst. Technol. 11(4), 505–515 (2003)

    Article  Google Scholar 

  19. Kinsey, J.C., Whitcomb, L.L.: Adaptive identification on the group of rigid-body rotations and its application to underwater vehicle navigation. IEEE Trans. Robot. 23(1), 124–136 (2007)

    Article  Google Scholar 

  20. Martin, S.C., Whitcomb, L.L.: Preliminary results in experimental identification of 3-DOF coupled dynamical plant for underwarter vehicles. In: Proceedings of the IEEE/MTS Oceans. Quebec (2008)

  21. SNAME (1950) Nomenclature for treating the motion of a submerged body through a fluid. The Society of Naval Architects and Marine Engineers Technical and Research Bulletin, pp. 1–5

  22. Tiano, A., Carreras, M., Ridao, P., Zirilli, A.: On the identification of non linear models unmanned underwater vehicles. In: Proceedings of the 10th Mediterranean Conference on Control and Automation—MED2002 (2002)

  23. Yuh, J.: Learning control for underwater robotic vehicles. IEEE Control Syst. Mag. 14(2), 39–46 (1994)

    Article  Google Scholar 

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Correspondence to Newton Maruyama.

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Avila, J.P.J., Adamowski, J.C., Maruyama, N. et al. Modeling and Identification of an Open-frame Underwater Vehicle: The Yaw Motion Dynamics. J Intell Robot Syst 66, 37–56 (2012). https://doi.org/10.1007/s10846-011-9625-x

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  • DOI: https://doi.org/10.1007/s10846-011-9625-x

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