CONTROL AUTOMATION OF MARITIME UNMANNED COMPLEX WITH A GROUP OF AUTONOMOUS UNDERWATER VEHICLES

Volodymyr Blintsov, Leo Tosin Aloba

Abstract


It is expedient to perform underwater search operations on large water areas using a group of autonomous self-propelled underwater vehicles. However, with a large distance to the search areas, the sea transition (from one point to the other) of the underwater vehicles requires high energy costs. This leads to the necessity to use heavy-duty underwater vehicles, which determines the high cost of the search operation. The transport of underwater vehicles is proposed to be carried out with an unmanned surface vessel, equipped with actuators for the automatic release of a group of vehicles under water and receiving on board after the end of the underwater mission. The maritime unmanned complex consisting of an unmanned surface vessel and a group of autonomous underwater vehicles on its board forms a new type of marine robotics, the complete automation of which is an actual scientific and technical task. For its implementation, the underlying (basic) automation technology of the marine search underwater mission has been developed as the theoretical basis for the development of the generalized structure of the complex automatic control system. Ten implementation stages of the underlying technology are formulated and the analysis of their automation features with the use of modern methods in the field of marine robotics is performed. Automation of the underlying technology stages involves the transfer of the vessel to a given water area, the automatic release (launch) of the group of underwater vehicles and their coordinated motion to the search area, the search operations and the return to the unmanned surface vessel, as well as the recovery of the vessel to the base. The generalized requirements for automatic control systems constituting the maritime unmanned complex at each stage of its functioning are provided. The spiral trajectory of waiting for the motion of the underwater vehicles at the group formation stages, for the search operation execution and after its completion, is proposed. For the spatial motion of the autonomous underwater vehicle as an agent of the group, the automatic control system was improved by introducing the blocks of the “Navigation Situation Model” and the “Navigation Threat Identifier, which make it impossible for emergency collision with the neighboring underwater vehicles of the group and disintegrate the group due to the data communication loss between them.


Keywords


maritime unmanned complex; autonomous underwater vehicle; underlying technology; automatic control

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References


Button, R. W., Kamp, J., Curtin, T. B., Dryden, J. (2009). A Survey of Missions for Unmanned Undersea Vehicles. National Defense Research Institute. RAND Corporation, 223.

Autonomous Vehicles in Support of Naval Operations (2005). Washington, DC: The National Academies Press, 256. doi: https://doi.org/10.17226/11379

Chatzichristofis, S. A., Kapoutsis, A., Kosmatopoulos, E. B., Doitsidis, L., R., D., Borges de Sousa, J. (2017). The NOPTILUS project: Autonomous Multi-AUV Navigation for Exploration of Unknown Environments. IFAC (International Federation of Automatic Control). Available at: http://www.openarchivescy.com/Record/hephaestus-11728-10204/Description#tabnav

Yasuda, T. (Ed.) (2011). Multi-Robot Systems, Trends and Development. Published by InTech, 586. doi: http://doi.org/10.5772/544

Tsiogkas, N., Papadimitriou, G., Saigol, Z., Lane, D. (2014). Efficient multi-AUV cooperation using semantic knowledge representation for underwater archaeology missions. 2014 Oceans - St. John’s. doi: https://doi.org/10.1109/oceans.2014.7003085

Li, Z., Duan, Z. (2017). Cooperative control of multi-agent systems: A consensus region approach. CRC Press, 262. doi: https://doi.org/10.1201/b17571

Li, J., Zhang, J., Zhang, G., Zhang, B. (2018). An Adaptive Prediction Target Search Algorithm for Multi-AUVs in an Unknown 3D Environment. Sensors, 18 (11), 3853. doi: https://doi.org/10.3390/s18113853

Sotzing, C. C., Evans, J., Lane, D. M. (2007). A Multi-Agent Architecture to Increase Coordination Efficiency in Multi-AUV Operations. OCEANS 2007 - Europe. doi: https://doi.org/10.1109/oceanse.2007.4302393

Das, B., Subudhi, B., Pati, B. B. (2016). Co-operative control of a team of autonomous underwater vehicles in an obstacle-rich environment. Journal of Marine Engineering & Technology, 15 (3), 135–151. doi: https://doi.org/10.1080/20464177.2016.1247636

Hai, H., Guocheng, Z., Hongde, Q., Zexing, Z. (2017). Autonomous underwater vehicle precise motion control for target following with model uncertainty. International Journal of Advanced Robotic Systems, 14 (4), 172988141771980. doi: https://doi.org/10.1177/1729881417719808

Mousavian, S. H., Koofigar, H. R. (2016). Identification-Based Robust Motion Control of an AUV: Optimized by Particle Swarm Optimization Algorithm. Journal of Intelligent & Robotic Systems, 85 (2), 331–352. doi: https://doi.org/10.1007/s10846-016-0401-9

Tolba, S., Ammar, R., Rajasekaran, S. (2015). Taking swarms to the field: A framework for underwater mission planning. 2015 IEEE Symposium on Computers and Communication (ISCC). doi: https://doi.org/10.1109/iscc.2015.7405645

Vanhée, L., Borit, M., Santos, J. (2018). Autonomous Fishing Vessels Roving the Seas: What Multiagent Systems Have Got to Do with It. AAMAS '18 Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 1193–1197. Available at: http://ifaamas.org/Proceedings/aamas2018/pdfs/p1193.pdf

Guo, W., Wang, S., Dun, W. (2015). The Design of a Control System for an Unmanned Surface Vehicle. The Open Automation and Control Systems Journal, 7 (1), 150–156. doi: https://doi.org/10.2174/1874444301507010150

Willcox, S., Goldberg, D., Vaganay, J., Curcio, J. A. Multi-vehicle cooperative navigation and autonomy with the bluefin cadre system. Available at: https://www.researchgate.net/publication/241654294_multi-vehicle_cooperative_navigation_and_autonomy_with_the_bluefin_cadre_system

Blintsov, V. S., Aloba, L. T., Tkhy, D. F. (2016). Modern problems of group motion control of remotely operated underwater vehicles. Zbirnyk naukovykh prats NUK, 3 (465), 83–91.

Matsuda, T., Maki, T., Sato, Y., Sakamaki, T., Ura, T. (2017). Alternating landmark navigation of multiple AUVs for wide seafloor survey: Field experiment and performance verification. Journal of Field Robotics, 35 (3), 359–395. doi: https://doi.org/10.1002/rob.21742

Santos, V. G., Chaimowicz, L. (2014). Cohesion and segregation in swarm navigation. Robotica, 32 (2), 209–223. doi: https://doi.org/10.1017/s0263574714000563

MHz/200KHz Dualfrequency Underwater Depth Measurement Ultrasonic Transducer. Available at: http://www.chinaseniorsupplier.com/Electronic_Components_Supplies/Active_Components/747348205/1MHz_200KHz_Dual_frequency_Underwater_Depth_Measurement_Ultrasonic_Transducer.html

Miskovic, N., Vukic, Z., Petrovic, I., Barisic, M. (2009). Distance keeping for underwater vehicles - tuning Kalman filters using self-oscillations. OCEANS 2009-EUROPE. doi: https://doi.org/10.1109/oceanse.2009.5278139

Burunina, Z. Yu., Voitasyk, A. M., Aloba, L. T., Korytskyi, V. I., Sirivchuk, A. S., Klochkov, A. P. (2018). Experimental Study of Group Control Laws for an Autonomous Unmanned Underwater Vehicle as a Group Agent. Shipbuilding and Marine Infrastruture, 2 (10), 116–126.

Blintsov, O. (2017). Devising a method for maintaining manageability at multidimensional automated control of tethered underwater vehicle. Eastern-European Journal of Enterprise Technologies, 1 (9 (85)), 4–16. doi: https://doi.org/10.15587/1729-4061.2017.93291




DOI: http://dx.doi.org/10.21303/2461-4262.2019.00940

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