TEAMER: Electrically Engaged Undulation System for Unmanned Underwater Vehicles
Abstract
This TEAMER RFTS 1 (Request for Technical Support) project supported the flume tank testing of a long range, high endurance unmanned underwater vehicle (UUV) to monitor maritime space. Today, battery-powered remotely operated vehicles (ROVs) lack the duration to make persistent, wide-area data collection possible.The proposed solution, an Electrically Engaged UnduLation (EEL) drone, can sustain missions for longer duration through hydrodynamic energy harvesting. Power is provisioned via the piezoelectric effect, a material-led phenomenon that converts applied stress into electricity. The EEL subsystems include power, propulsion, navigation, ballast, telemetry, and instrumentation. By mimicking the gait of aquatic eels, EEL can counter currents during maneuvering and level-flight. The identified opportunity is in the future capability of extreme endurance UUVs in swarms. The specific goal for the EEL development is to expand the spatio-temporal coverage of the existing ocean observation mission by overcoming significant challenges of autonomous robotics. Some of the challenges presented include novel compliant mechanism for robust actuation, bio-inspired design to emulate efficient locomotion, smart material-based energy harvesting for sustained power, and swarming architecture through enabled autonomy.
- Authors:
-
- Pyro-E
- Publication Date:
- Other Number(s):
- 481
- DOE Contract Number:
- EE0008895
- Research Org.:
- Marine and Hydrokinetic Data Repository (MHKDR); Pyro-E
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Water Power Technologies Office (EE-4WP)
- Collaborations:
- Pyro-E
- Subject:
- 16 TIDAL AND WAVE POWER; EEL; Electrically Engaged Undulation; Hydrokinetic; MATLAB; MHK; Marine; RFTS 1; TEAMER; UUV; autonomous robotics; bio-locomotion; code; energy; instruments; oceanographic instruments; performance data; piezoelectric effect; power; steady state; technology; unmanned underwater vehicle
- OSTI Identifier:
- 2001009
- DOI:
- https://doi.org/10.15473/2001009
Citation Formats
Lu, Kevin, and Datla, Raju. TEAMER: Electrically Engaged Undulation System for Unmanned Underwater Vehicles. United States: N. p., 2021.
Web. doi:10.15473/2001009.
Lu, Kevin, & Datla, Raju. TEAMER: Electrically Engaged Undulation System for Unmanned Underwater Vehicles. United States. doi:https://doi.org/10.15473/2001009
Lu, Kevin, and Datla, Raju. 2021.
"TEAMER: Electrically Engaged Undulation System for Unmanned Underwater Vehicles". United States. doi:https://doi.org/10.15473/2001009. https://www.osti.gov/servlets/purl/2001009. Pub date:Fri Oct 01 04:00:00 UTC 2021
@article{osti_2001009,
title = {TEAMER: Electrically Engaged Undulation System for Unmanned Underwater Vehicles},
author = {Lu, Kevin and Datla, Raju},
abstractNote = {This TEAMER RFTS 1 (Request for Technical Support) project supported the flume tank testing of a long range, high endurance unmanned underwater vehicle (UUV) to monitor maritime space. Today, battery-powered remotely operated vehicles (ROVs) lack the duration to make persistent, wide-area data collection possible.The proposed solution, an Electrically Engaged UnduLation (EEL) drone, can sustain missions for longer duration through hydrodynamic energy harvesting. Power is provisioned via the piezoelectric effect, a material-led phenomenon that converts applied stress into electricity. The EEL subsystems include power, propulsion, navigation, ballast, telemetry, and instrumentation. By mimicking the gait of aquatic eels, EEL can counter currents during maneuvering and level-flight. The identified opportunity is in the future capability of extreme endurance UUVs in swarms. The specific goal for the EEL development is to expand the spatio-temporal coverage of the existing ocean observation mission by overcoming significant challenges of autonomous robotics. Some of the challenges presented include novel compliant mechanism for robust actuation, bio-inspired design to emulate efficient locomotion, smart material-based energy harvesting for sustained power, and swarming architecture through enabled autonomy.},
doi = {10.15473/2001009},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Oct 01 04:00:00 UTC 2021},
month = {Fri Oct 01 04:00:00 UTC 2021}
}
