Feature based adaptive energy management of sensors on autonomous underwater vehicles

Woithe, Hans Christian; Kremer, Ulrich

doi:10.1016/j.oceaneng.2014.11.015

Cited by 18 publications

(7 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A valuable characteristics of the proposed approach is the use of clean and renewable energy provided by photovoltaic solar panels for the USV, and hydrogen fuel cell system combined with a rechargeable battery pack, for both AUV and USV. Moreover, a long operative autonomy is ensured by an adaptive energy management [46].…”

Section: Leisurementioning

confidence: 99%

ENDURUNS: An Integrated and Flexible Approach for Seabed Survey Through Autonomous Mobile Vehicles

Marini

Gjeci²,

Govindaraj

et al. 2020

JMSE

View full text Add to dashboard Cite

The oceans cover more than two-thirds of the planet, representing the vastest part of natural resources. Nevertheless, only a fraction of the ocean depths has been explored. Within this context, this article presents the H2020 ENDURUNS project that describes a novel scientific and technological approach for prolonged underwater autonomous operations of seabed survey activities, either in the deep ocean or in coastal areas. The proposed approach combines a hybrid Autonomous Underwater Vehicle capable of moving using either thrusters or as a sea glider, combined with an Unmanned Surface Vehicle equipped with satellite communication facilities for interaction with a land station. Both vehicles are equipped with energy packs that combine hydrogen fuel cells and Li-ion batteries to provide extended duration of the survey operations. The Unmanned Surface Vehicle employs photovoltaic panels to increase the autonomy of the vehicle. Since these missions generate a large amount of data, both vehicles are equipped with onboard Central Processing units capable of executing data analysis and compression algorithms for the semantic classification and transmission of the acquired data.

show abstract

Section: Leisurementioning

confidence: 99%

ENDURUNS: An Integrated and Flexible Approach for Seabed Survey Through Autonomous Mobile Vehicles

Marini

Gjeci²,

Govindaraj

et al. 2020

JMSE

View full text Add to dashboard Cite

show abstract

“…Three typical physical features in oceanographic research are introduced here: thermoclines, upwelling and internal waves. A thermocline is a thermally stratified body of water in which the vertical temperature changes significantly with depth [5]. Upwelling is an ocean process near coastal regions caused by a combination of wind and Ekman transport, which brings a cold deep-water mass upward while displacing the surface water in an offshore direction [6].…”

Section: Physical Featuresmentioning

confidence: 99%

“…Later, Woithe and Kremer [5] introduced a feature-based gradient method, a new hybrid adaptive sampling algorithm combining the average gradient method [11] and the maximum gradient method [12]. The two gradient methods were combined to complement each other.…”

Section: Water Depth Thermocline Depth Depth Bin Sizementioning

confidence: 99%

AUV Adaptive Sampling Methods: A Review

2019

View full text Add to dashboard Cite

Autonomous underwater vehicles (AUVs) are unmanned marine robots that have been used for a broad range of oceanographic missions. They are programmed to perform at various levels of autonomy, including autonomous behaviours and intelligent behaviours. Adaptive sampling is one class of intelligent behaviour that allows the vehicle to autonomously make decisions during a mission in response to environment changes and vehicle state changes. Having a closed-loop control architecture, an AUV can perceive the environment, interpret the data and take follow-up measures. Thus, the mission plan can be modified, sampling criteria can be adjusted, and target features can be traced. This paper presents an overview of existing adaptive sampling techniques. Included are adaptive mission uses and underlying methods for perception, interpretation and reaction to underwater phenomena in AUV operations. The potential for future research in adaptive missions is discussed.

show abstract

“…Woithe et al reduced the energy consumption of the detection system by studying the sensor adaptive sampling strategy of underwater glider, then developed the energy consumption tester for the Slocum glider, and analyzed the energy consumption of the main unit of the glider, finally established the task energy consumption simulation model to guide the mission planning. 9,10 In the work of Chen and Yu, 11 the Sea-Wing underwater glider range model based on energy consumption was established, and the navigation parameters and sensor control strategy of the glider are optimized. Zhu et al 12 carried out the research of underwater glider path planning aiming at the lowest energy consumption.…”

Section: Introductionmentioning

confidence: 99%

Analysis on energy consumption of blended-wing-body underwater glider

Zhang

2020

International Journal of Advanced Robotic Systems

View full text Add to dashboard Cite

As a new type of underwater observation platform, underwater glider is widely used in marine explorations and military surveys, and most gliders are powered by their own batteries whose capacities are limited. It is therefore necessary to analyze the energy consumption of underwater glider. In this article, the variation law of seawater density changing with depth is considered; based on the theory of rigid body dynamics, the motion model of blended-wing-body underwater glider is established; the energy consumption model of each component module is accounted by analyzing the energy consumption composition in the working process of blended-wing-body underwater glider; and the energy consumption under different navigation depths, different glide ratios, and different buoyancy adjustments regulation is simulated. The results demonstrate that as the glide depth is increased, the total energy consumption increases in a single cycle and decreases per gliding distance, leading to a smaller energy consumption ratio for the attitude adjustment module; on the other hand, as the buoyancy adjustment is increased, more energy is consumed in a single cycle and less energy is consumed per gliding distanced, resulting in a larger energy consumption ratio for the attitude adjustment module. As the glide ratio increases, the total energy consumption in a single cycle first increases and then decreases, while the energy consumption of per gliding distance and the energy consumption ratio of the attitude adjustment module are decreased.

show abstract

Feature based adaptive energy management of sensors on autonomous underwater vehicles

Cited by 18 publications

References 19 publications

ENDURUNS: An Integrated and Flexible Approach for Seabed Survey Through Autonomous Mobile Vehicles

ENDURUNS: An Integrated and Flexible Approach for Seabed Survey Through Autonomous Mobile Vehicles

AUV Adaptive Sampling Methods: A Review

Analysis on energy consumption of blended-wing-body underwater glider

Contact Info

Product

Resources

About