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Dynamic Modeling of Underwater Multi-Hull Vehicles

Published online by Cambridge University Press:  25 November 2019

Roberta Ingrosso*
Affiliation:
Department of Innovation Engineering, University of Salento, ISME node, Lecce, Italy, E-mails: [email protected], [email protected], [email protected]
Daniela De Palma
Affiliation:
Department of Innovation Engineering, University of Salento, ISME node, Lecce, Italy, E-mails: [email protected], [email protected], [email protected]
Giulio Avanzini
Affiliation:
Department of Innovation Engineering, University of Salento, ISME node, Lecce, Italy, E-mails: [email protected], [email protected], [email protected]
Giovanni Indiveri
Affiliation:
Department of Innovation Engineering, University of Salento, ISME node, Lecce, Italy, E-mails: [email protected], [email protected], [email protected]
*
*Corresponding author. E-mail: [email protected]

Summary

This paper describes a modeling approach to compute the lumped parameter hydrodynamic derivative matrices of an underwater multi-hull vehicle. The vehicle, modeled as a multi-body underwater system and denoted as cluster, can be composed by heterogeneous bodies with known dynamic parameters, rigidly connected. The nonlinear dynamic equations of the cluster and its parameters are derived by means of a modular approach, based on the composition of single basic elements. The ultimate objective is to derive a mathematical description of the multi-hull system that captures its most significant dynamics allowing to design model-based motion controllers and navigation filters. The modular nature of the resulting model can be exploited, by example, when control reconfiguration is to be dealt with in the presence of (possibly multiple) failures. The numerical simulation of a hypothetical cluster is presented and discussed.

Type
Articles
Copyright
© Cambridge University Press 2019

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References

Antonelli, G., Underwater Robots, vol. 96. Springer Tracts in Advanced Robotics (Springer International Publishing, Switzerland, 2014).CrossRefGoogle Scholar
Fossen, T. I., Handbook of Marine Craft Hydrodynamics and Motion Control (John Wiley & Sons, Ltd., United Kingdom, 2011).CrossRefGoogle Scholar
Cardenas, P. and de Barros, E. A., “Estimation of AUV hydrodynamic coefficients using analytical and system identification approaches,” IEEE J. Ocean. Eng., 120 (2019).10.1109/JOE.2019.2930421CrossRefGoogle Scholar
Caccia, M., Indiveri, G. and Veruggio, G., “Modelling and identification of open-frame variable configuration unmanned underwater vehicles,IEEE J. Ocean. Eng. 5, 227240 (2000).CrossRefGoogle Scholar
Peng, Z., Wang, J. and Han, Q.-L., “Path-following control of autonomous underwater vehicles subject to velocity and input constraints via neurodynamic optimization,IEEE Trans. Ind. Electron. 66(11), 87248732 (2018).CrossRefGoogle Scholar
Kamman, J. W. and Huston, R. L.. “Modelling of submerged cable dynamics,Comput. Struct. 20(1), 623629 (1985). Special Issue: Advances and Trends in Structures and Dynamics.CrossRefGoogle Scholar
Kamman, J. W. and Huston, R. L., “Multibody dynamics modeling of variable length cable systems,Multibody Syst. Dyn. 5(3), 211221 (2001).CrossRefGoogle Scholar
Abreu, P., Morishita, H., Pascoal, A., Ribeiro, J. and Silva, H., “Marine Vehicles with Streamers for Geotechnical Surveys: Modeling, Positioning, and Control,” In: Proceedings of the 10th IFAC Conference on Control Applications in Marine Systems, CAMS 2016, vol. 49 (Hassani, V., ed.) (Elsevier, Netherlands, 2016), pp. 458464.Google Scholar
Huang, H., Tang, Q., Li, H., Liang, L., Li, W. and Pang, Y., “Vehicle-manipulator system dynamic modeling and control for underwater autonomous manipulation,Multibody Syst. Dyn. 41(2), 125147 (2017). ISSN: 1573-272X.CrossRefGoogle Scholar
Ke, Y., Xu-yang, W., Tong, G. and Chao, W., “A dynamic model of an underwater quadruped walking robot using Kane’s method,J. Shanghai Jiaotong Univ. (Sci.) 19(2), 160168 (2014).Google Scholar
Ke, Y., Xuyang, W., Tong, G. and Chao, W., “A Dynamic Model of ROV with a Robotic Manipulator Using Kane’s Method,” In: 2013 Fifth International Conference on Measuring Technology and Mechatronics Automation, Hong Kong (2013) pp. 912.Google Scholar
Park, J. and Kim, N., “Dynamics modeling of a semi-submersible autonomous underwater vehicle with a towfish towed by a cable,Int. J. Naval Archit. Ocean Eng. 7(2), 409425 (2015).CrossRefGoogle Scholar
Zhang, H. and Wang, S., “Modelling and Analysis of an Autonomous Underwater Vehicle via Multibody System Dynamics,Proceedings of the 12th IFToMM World Congress, Besancon, France (2007) pp. 16.Google Scholar
Nielsen, M. C., Eidsvik, O. A., Blanke, M. and Schjølberg, I., “Validation of multi-body modelling methodology for reconfigurable underwater robots,OCEANS 2016 MTS/IEEE Monterey, Monterey, CA, USA (2016) pp. 18.Google Scholar
Nielsen, M. C., Blanke, M. and Schjølberg, I., “Efficient Modelling Methodology for Reconfigurable Underwater Robots,Proceedings of the 10th IFAC Conference on Control Applications in Marine Systems, CAMS 2016, Trondheim, Norway, vol. 49 (2016) pp. 7480.Google Scholar
Nielsen, M. C., Eidsvik, O. A., Blanke, M. and Schjølberg, I., “Constrained multi-body dynamics for modular underwater robots — theory and experiments,Ocean Engineering 149, 358372 (2018).CrossRefGoogle Scholar
Yang, K., “Dynamic model and CPG network generation of the underwater self-reconfigurable robot,Adv. Robot. 30(14), 925937 (2016).CrossRefGoogle Scholar
Udwadia, F. E. and Schutte, A. D., “A unified approach to rigid body rotational dynamics and control,Proc. Roy. Soc. London A Math. Phys. Eng. Sci. 468(2138), 395414 (2011).CrossRefGoogle Scholar
Simetti, E., Wanderlingh, F., Casalino, G., Indiveri, G. and Antonelli, G., “Robust project: Control framework for deep sea mining exploration,OCEANS 2017, Anchorage (2017) pp. 15.Google Scholar
Ingrosso, R., De Palma, D., Indiveri, G. and Avanzini, G., “Preliminary Results of a Dynamic Modelling Approach for Underwater Multi-Hull Vehicles,Proceedings of the 11th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles – CAMS 2018 (Mišković, N., ed.), Opatija, Croatia, vol. 51 (2018) pp. 8691.Google Scholar
Fossen, T. I., Guidance and Control of Ocean Vehicles (John Wiley & Sons Inc., United Kingdom, 1994).Google Scholar
Siciliano, B. and Khatib, O., Handbook of Robotics (Springer-Verlag, Berlin, Heidelberg, 2008).CrossRefGoogle Scholar
Fossen, T. I., “How to Incorporate Wind, Waves and Ocean Currents in the Marine Craft Equations of Motion,9th IFAC Conference on Manoeuvring and Control of Marine Craft, Arenzano, Italy, vol. 45 (2012) pp. 126131.Google Scholar
Fossen, T. I., Marine Control Systems: Guidance, Navigation and Control of Ships, Rigs and Underwater Vehicles (Marine Cybernetics, Trondheim, Norway, 2002).Google Scholar
Hoerner, S. F. and Borst, H. V., Fluid-Dynamic Lift, Practical Information on Aerodynamic and Hydrodynamic Lift (Mrs. Liselotte A. Hoerner, NASA STI/Recon Technical Report A 1985).Google Scholar
Newman, J. N., Marine Hydrodynamics (MIT Press, Cambridge, Massachusetts, 1977).CrossRefGoogle Scholar
Alvarez, A., Caffaz, A., Caiti, A., Casalino, G., Gualdesi, L., Turetta, A. and Viviani, R., “Folaga: A low-cost autonomous underwater vehicle combining glider and AUV capabilities,Ocean Eng. 36, 2438 (2009).CrossRefGoogle Scholar
Canepa, A., Guida e controllo di veicoli sottomarini autonomi. Master’s thesis, University of Genova, Informatic Engineering (March 2011).Google Scholar