An Advanced Guidance & Control System for an Unmanned Vessel with Azimuthal Thrusters
Creators
- 1. National Research Council of Italy (CNR) - Institute of Marine Engineering
Description
The proposed paper presents the design and development of the combined guidance & control strategies for the autonomous navigation of an unmanned vessel characterized by azimuth-based thrust architecture. Autonomous Marine Vehicles (AMVs) are consolidates technological tools commonly employed for different tasks such as exploration, sampling and intervention. With the final aim of autonomous shipping, the capabilities of AMVs have to be migrated and adapted towards the reliable and safe control of commercial-like unmanned vessel, that are taking place thanks to a number of technological research projects. The employment of new concept hulls and thrust configurations, as for instance Small Waterplane Area Twin Hull (SWATH) combined with Azimuthal propulsion (common propeller-based thruster with the capability of 360◦ rotation around the vertical axis), requires robust guidance techniques to provide precise and reliable motion control during navigation. The paper proposes a dual-loop guidance & control scheme able to provide advanced navigation capabilities. In particular, the inner control loop, devoted to the actuation of the azimuthal thrusters, allows the tracking of reference course angle (namely the autopilot). Such a control loop is characterized by a modified PID regulation scheme, where a novel adaptive derivative component is inserted in order to improve the convergence curve towards the required course reference. The outer guidance loop, based on Lyapunov/virtual-target approach, allows the vessel to track generic desired paths, thus enhancing the autonomous navigation capabilities also in constrained environments. The paper will provide a deep design & analysis approach for the developed techniques, as well as simulation results of the combined guidance & control scheme, proving the reliability of the proposed approach in different operative conditions. Experimental results will be provided, depending on the availability of the actual autonomous vessel (currently under final development/test phases and related to the specific project activities).
Files
ISCSS 2018 Paper 032 Bibuli FINAL.pdf
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(1.6 MB)
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Additional details
References
- Bibuli, M., Bruzzone, G., Caccia, M., Gasparri, A., Priolo, A., Zereik, E., 2014. Swarm-based path-following for cooperative unmanned surface vehicles. Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment 228 (2), 192–207.
- Bibuli, M., Bruzzone, G., Caccia, M., Lapierre, L., 2009. Path following algorithms and experiments for an unmanned surface vehicle. Journal of Field Robotics 26 (8), 669–688.
- Bibuli,M., Caccia,M., Lapierre, L., Bruzzone,G., 2012. Guidance of unmanned surface vehicles: Experiments in vehicle following. IEEE Robotics & Automation Magazine 19 (3), 92–102.
- Brizzolara, S., Bovio, M., Federici, A., Vernengo, G., 2011. Hydrodynamic design of a family of hybrid SWATH unmanned surface vehicles. Sea Grant College Program, Massachusetts Institute of Technology
- Brizzolara, S., Bovio, M., Federici, A., Vernengo, G., 2011. Hydrodynamic design of a family of hybrid SWATH unmanned surface vehicles. Sea Grant College Program, Massachusetts Institute of Technology
- Caccia, M., Bibuli, M., Bono, R., Bruzzone, G., November 2008. Basic navigation, guidance and control of an unmanned surface vehicle. Autonomous Robots 25 (4), 349–365.
- Caharija, W., Pettersen, K. Y., Bibuli, M., Calado, P., Zereik, E., Braga, J., Gravdahl, J. T., Sørensen, A. J., Milovanovi´c, M., Bruzzone, G., 2016. Integral line-of-sight guidance and control of underactuated marine vehicles: Theory, simulations, and experiments. IEEE Transactions on Control Systems Technology 24 (5), 1623–1642.
- Cristofaro, A., Johansen, T.A., 2014. Fault tolerant control allocation using unknown input observers. Automatica 50 (7), 1891–1897.
- Dai, S.-L., Wang, M., Wang, C., 2016. Neural learning control of marine surface vessels with guaranteed transient tracking performance. IEEE Transactions on Industrial Electronics 63 (3), 1717–1727.
- Fossen, T. I., Johansen, T. A., Perez, T., 2009. A survey of control allocation methods for underwater vehicles. INTECH Open Access Publisher.
- Johansen, T. A., Fossen, T. I., 2013. Control allocation – a survey. Automatica 49 (5), 1087–1103.
- Johansen, T. A., Fossen, T. I., Berge, S. P., 2004. Constrained nonlinear control allocation with singularity avoidance using sequential quadratic programming. IEEE Transactions on Control Systems Technology 12 (1), 211– 216.
- Johansen, T. A., Fuglseth, T. P., Tøndel, P., Fossen, T. I., 2008. Optimal constrained control allocation in marine surface vessels with rudders. Control Engineering Practice 16 (4), 457–464.
- Khalil, H., 2002. Nonlinear Systems. Pearson Education. Prentice Hall. URL https://books.google.it/books?id=t_d1QgAACAAJ
- Kitts, C., Mahacek, P., Adamek, T., Rasal, K., Howard, V., Li, S., Badaoui, A., Kirkwood, W., Wheat, G., Hulme, S., 2012. Field operation of a robotic small waterplane area twin hull boat for shallow-water bathymetric characterization. Journal of field Robotics 29 (6), 924–938.
- Mahacek, P., Kitts, C. A., Mas, I., 2012. Dynamic guarding of marine assets through cluster control of automated surface vessel fleets. IEEE/ASME Transactions on Mechatronics 17 (1), 65–75.
- McNinch, L. C., Ashrafıuon, H., 2011.Predictive andslidingmodecascade controlfor unmanned surface vessels. In: American Control Conference (ACC), 2011. IEEE, pp. 184–189.
- Na¯d, Ð., Miškovi´c, N., Mandi´c, F., 2015. Navigation, guidance and control of an overactuated marine surface vehicle. Annual Reviews in Control 40, 172–181.
- Pettersen, K.Y., 2015. Underactuated marine control systems. In: Encyclopedia of Systems and Control. Springer, pp. 1499–1503.
- RITMARE, 2015. Ritmare flagship project. URL www.ritmare.it
- Scibilia, F., Skjetne, R., 2012. Constrained control allocation for vessels with azimuth thrusters. IFAC Proceedings Volumes 45 (27), 7–12.
- Soares, J. M., Aguiar, A. P., Pascoal, A. M., Martinoli, A., 2013. Joint asv/auv range-based formation control: Theory and experimental results. In: Robotics and Automation (ICRA), 2013 IEEE International Conference on. IEEE, pp. 5579–5585.
- Zaghi, S., Leotardi, C., Muscari, R., Dubbioso, G., Diez, M., Broglia, R., 2015. Rans hydrodynamic characterization of a usv swath configuration including design optimization. In: , 18th Numerical Towing Tank Symposium NuTTS2015, Cortona, Italy.