Wave-predicting robots could cut green energy costs
by University of Edinburgh · Tech XploreNew technology that enables robots to work stably in turbulent seas could make it cheaper, faster and safer to maintain offshore wind farms and tidal turbines, researchers say.
Until now, the unpredictable nature of waves—which make it difficult for machines to remain stable and perform precise movements—has limited the use of robots in the upkeep of offshore platforms.
Unmanned robots
Stationing autonomous robots offshore to perform routine maintenance would reduce the cost of generating renewable energy, which is typically much higher than using fossil fuels, the team says.
It could also simplify operations—which currently can involve ships and helicopters or hoisting equipment out of the water—and remove the need for people to work in dangerous settings.
Wave tests
Edinburgh engineers have developed new computational and experimental tools to enable autonomous robots to maintain a steady position amid irregular, buffeting waves.
The researchers trialed their system at the University's FloWave testing tank, using wave data captured by a buoy in the North Sea to mimic the types of conditions robots might work in. The research is published in The International Journal of Robotics Research.
Wave-detecting devices are tethered to the seafloor and measure the direction and height of incoming waves, relaying the information in real-time to a robot working nearby. This enables the unmanned machine to pre-empt complex future disturbances in the water, precisely counteracting these to maintain a stable position.
Findings indicate the system is compatible with robots operating near the surface and those working at greater depths, where disturbances can still be felt strongly.
Improved tech
The new technology improves on conventional control systems, the team says, which operate in a corrective fashion. These are prone to responding slowly to the fast-changing disturbances of the ocean, making them much less reliable in such hazardous environments.
"A major limitation at present is robots' ability to perceive and counteract environmental disturbances effectively, which fundamentally restricts the current use of small subsea vehicles. By forming a prediction of future wave disturbances and integrating this within the control system, we're able to expand this range with little to no change to the robot hardware.
"In terms of translating this technology into the field, this is a huge benefit and makes our system applicable to most vehicles currently available on the market," says Dr. Kyle Walker.
Greater automation
Future research aims to improve autonomous machines' ability to perform precise tasks—such as using robotic arms to detect rust or fix electric equipment—while holding a steady position in water.
"Increasing the use of autonomous robots to help maintain offshore renewable installations could have a transformative effect on cutting the cost of producing clean energy. Advancing this technology further could help bring about a step change in the adoption of unmanned robots at sea and drastically increase the degree of automation in the offshore sector," says Dr. Francesco Giorgio-Serchi.
More information: Kyle L. Walker et al, Nonlinear model predictive dynamic positioning of a remotely operated vehicle with wave disturbance preview, The International Journal of Robotics Research (2024). DOI: 10.1177/02783649241286909 Journal information: International Journal of Robotics Research |
Provided by University of Edinburgh