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New approaches for renewable energy management in autonomous marine vehicles
Published in C. Guedes Soares, Developments in Renewable Energies Offshore, 2020
P.J. Bernalte, F.P.G. Márquez, S. Marini, F. Bonofoglio, L. Barbieri, Nikolla Gjeci, E. Ottaviani, S. Govindaraj, S. Coene, A. But, J. Pedersen, C. Vetke, F. Madricardo, F. Foglini, M. Antonini, S. Montenegro, P. Weiss, K. Nowak, M. Peer, T. Gobert, A. Turetta, E. Chatzidouros, D. Lee, T. Yamas, M. Papaelias
The importance of maintenance management required for optimum performance is needed (Zhang, Kim, and Tee 2017). The use of underwater operations with the use of autonomous underwater vehicles (AUV) is becoming more commonplace in offshore infrastructure inspections (Segovia Ramírez et al. 2019). This technology was mainly applied in military industry at the beginning (Drifte 2019). Nowadays, an AUV allows multiple applications, including industrials, due to its high versatility: seabed mapping (Ma et al. 2018), biochemical surveys (Barker and Whitcomb 2016), marine life study (Maki et al. 2020), gas and electrical pipelines (Sheng et al. 2018), civil infrastructures inspections (Mai et al. 2016), wrecks discoveries (Costa et al. 2019) or film operations (Kukulya et al. 2016). For optimal endurance and operation performance of the vehicle, Li-Po or other Li-ion batteries such Lithium Cobalt Oxide, are employed in applications that require high charge storage capacity together with low weight and volume. Li-ion batteries have the highest specific energy in comparison with all other batteries.
Communications
Published in Diego Galar, Uday Kumar, Dammika Seneviratne, Robots, Drones, UAVs and UGVs for Operation and Maintenance, 2020
Diego Galar, Uday Kumar, Dammika Seneviratne
Autonomous underwater vehicles (AUVs) are becoming a reliable and cost-effective solution for performing a variety of underwater tasks in a fully automated way. Among the main tasks performed by AUVs are bathymetric surveys and environmental inspections, surveillance and patrolling, or even mine countermeasure operations. The use of such vehicles means the assigned tasks can usually be performed in a cost-effective way. It also enables operations in challenging scenarios that otherwise would not be safe or even possible for human intervention. While most of these tasks are traditionally performed using only a single vehicle, significant research efforts are focused on the development of algorithms that allow fleets of AUVs, navigating in a coordinated fashion, to achieve a common goal (Melo & Matos, 2018).
Development of autonomous underwater vehicle
Published in Petar Georgiev, C. Guedes Soares, Sustainable Development and Innovations in Marine Technologies, 2019
A.K. Sujith, A. Mathew, S. Shajan, S. Pai G., P.G. Sunil Kumar
Autonomous Underwater Vehicle (AUV) are utilized for a wide range of commercial operations including underwater survey missions such as detecting and mapping submerged wrecks, rocks, and obstructions that can be a hazard to navigation for commercial and recreational vessels. Their applications in offshore sector include Baseline Environmental Assessment, Geophysical Survey, Pipeline Survey and Debris/Clearance Survey. In hydrography they are used in Route Survey, Habitat Mapping and deep-Sea mining, Charting, EEZ Survey and Pre/Post Dredging Survey. In environmental monitoring they can be utilized in Emergency Response, Water Quality and Ecosystem Assessment. They can also be deployed at the front lines of combat to provide situational awareness to small units of troops through real-time information about surrounding areas. An AUV conducts its survey mission without operator intervention. When a mission is complete, the AUV will return to a pre-programmed location where the data can be downloaded and processed. AUV’s allow scientists to conduct other experiments from a surface ship while the vehicle is off collecting data elsewhere on the surface or in the deep ocean These AUV’s can weigh very less compared to other vessels. The lightest models are fairly fast to provide sufficient speed while maintaining efficiency.
Design and optimization of a bio-inspired hull shape for AUV by surrogate model technology
Published in Engineering Applications of Computational Fluid Mechanics, 2021
Tongshuai Sun, Guangyao Chen, Shaoqiong Yang, Yanhui Wang, Yanzhe Wang, Hua Tan, Lianhong Zhang
In recent years, the role of unmanned underwater vehicles in ocean observation and marine resource exploration has become increasingly prominent (Ishikawa et al., 2004; Newman et al., 2007; Yamamoto, 2015; Zhang et al., 2017). Among them, the autonomous underwater vehicles (AUVs) is an indispensable and important tool for scientific observation and exploration in the marine environment, such as seabed minerals exploration, seabed topography survey, marine living resources survey and search and rescue (Ishikawa et al., 2004). In order to realize wide-area observation of the above tasks, the long-range of an AUV is particularly important, which can be achieved by increasing the energy capacity, improving energy efficiency or reducing power consumption. To prolong the endurance and increase the payload of an AUV, low drag performance and large internal space are required. Thus a carefully hydrodynamic shape design and optimization are indispensable to reduce the power consumption (Zhang et al., 2017).
Autonomous underwater vehicles - challenging developments and technological maturity towards strategic swarm robotics systems
Published in Marine Georesources & Geotechnology, 2019
N. Vedachalam, R. Ramesh, V. Bala Naga Jyothi, V. Doss Prakash, G. A. Ramadass
Li-ion batteries are among the fast emerging electrochemical-based energy storage technologies including Na-S, Zn-air, Li-air and Lead-carbon. After two decades of proven performance in portable equipment, Li-Ion batteries have attracted significant attention for use in higher energy and power demanding applications in the electro-mobility and stationary areas. Their superior energy density, specific density (Figure 4), cycle stability, efficiency and reliability have attracted their use in weight and volume sensitive applications in the offshore, automobiles, aerospace, renewable energy and smart electric grid segments (Arifujjaman 2015; Vedachalam and Ramadass 2016). Almost all the recently developed AUV utilize Li-Ion batteries catering to the propulsion, control and payload energy requirements (Adams and White 2013). The reliability of the Li-Ion based power supply is the lynch pin for long range AUV used in the deep ocean and under ice Polar research missions. Hence, assessing the probability of failure (PoF) over time and usage based on the field failure data helps to determine the redundancy requirements to be factored-in to realize a reliable failure-tolerant Li-Ion battery pack.
Model predictive and non-cooperative dynamic game fault recovery control strategies for a network of unmanned underwater vehicles
Published in International Journal of Control, 2019
Sahar Sedaghati, Farzaneh Abdollahi, Khashayar Khorasani
The use of multiple autonomous underwater vehicles (AUVs) offers many advantages in performing long-duration and difficult deep water marine tasks such as seabed mapping and surveying, oil and gas exploration and extraction, pipeline inspection, reconnaissance, etc. (Fletcher, 2000). However, accessibility limitations and safety issues in the underwater environment have made development of reliable and efficient cooperative control protocols quite challenging. Presence of unexpected vehicle faults and malfunctions can result in an increased mission cost, severe team performance degradation, and even loss of one or more vehicles, and possibly the entire mission failure. Moreover, sending the centralised information to all the vehicles or agents is not practically feasible due to the limited bandwidth of acoustic communication channels (Ghabcheloo et al., 2006).