go to top scroll for more

Constraints Implementation in the Application of Reinforcement Learning to the Reactive Control of a Point Absorber


Citation Anderlini, E., Forehand, D.I.M., Bannon, E. and Abusara, M. Constraints Implementation in the Application of Reinforcement Learning to the Reactive Control of a Point Absorber, ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering, 2017. https://dx.doi.org/10.1115/OMAE2017-61294.
Cite this using DataCite
Author(s) Anderlini, E., Forehand, D.I.M., Bannon, E. and Abusara, M.
Project partner(s) University of Edinburgh, Wave Energy Scotland, University of Exeter
Publisher ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering
DOI https://dx.doi.org/10.1115/OMAE2017-61294
Download 282082
Abstract Least-squares policy iteration, a reinforcement learning algorithm, is applied to the reactive control of a wave energy converter for the first time. Simulations of a linear point absorber are used for this analysis. The focus of this study is on the implementation of displacement constraints. The use of a penalty term is effective in teaching the controller to avoid the selection of combinations of the damping and stiffness coefficients that would result in excessive displacements in particular sea states. However, the controller can learn that the actions are bad only after trying them, as shown by the simulations. For this reason, a lower-level control scheme is proposed, which changes the sign of the controller force based on the magnitude of the float displacement and sign of its velocity. Its effectiveness is proven in both regular and irregular waves, although greater care is required for the determination of soft constraints
Associated Project(s) ETI-MA2003: Industrial Doctorate Centre for Offshore Renewable Energy (IDCORE)
Associated Dataset(s) No associated datasets
Associated Publication(s)

A model to map levelised cost of energy for wave energy projects

An Integrated Data Management Approach for Offshore Wind Turbine Failure Root Cause Analysis

An investigation of the effects of wind-induced inclination on floating wind turbine dynamics: heave plate excursion

Application of an offshore wind farm layout optimization methodology at Middelgrunden wind farm

Characterisation of current and turbulence in the FloWave Ocean Energy Research Facility

Characterization of the tidal resource in Rathlin Sound

Comparison of Offshore Wind Farm Layout Optimization Using a Genetic Algorithm and a Particle Swarm Optimizer

Component reliability test approaches for marine renewable energy

Control of a Realistic Wave Energy Converter Model Using Least-Squares Policy Iteration

Cost Reduction to Encourage Commercialisation of Marine in the UK

Cumulative impact assessment of tidal stream energy extraction in the Irish Sea

Design diagrams for wavelength discrepancy in tank testing with inconsistently scaled intermediate water depth

Development of a Condition Monitoring System for an Articulated Wave Energy Converter

Dynamic mooring simulation with Code(-)Aster with application to a floating wind turbine

ETI Insights Report - Wave Energy

Environmental interactions of tidal lagoons: A comparison of industry perspectives

Exploring Marine Energy Potential in the UK Using a Whole Systems Modelling Approach

Hybrid, Multi-Megawatt HVDC Transformer Topology Comparison for Future Offshore Wind Farms

Hydrodynamic analysis of a ducted, open centre tidal stream turbine using blade element momentum theory

Offshore wind farm electrical cable layout optimization

Offshore wind installation vessels - A comparative assessment for UK offshore rounds 1 and 2

Optimisation of Offshore Wind Farms Using a Genetic Algorithm

Quantifying uncertainty in acoustic measurements of tidal flows using a “Virtual” Doppler Current Profiler

Re-creation of site-specific multi-directional waves with non-collinear current

Reactive control of a two-body point absorber using reinforcement learning

Reactive control of a wave energy converter using artificial neural networks

Reliability and O & M sensitivity analysis as a consequence of site specific characteristics for wave energy converters

Reliability prediction for offshore renewable energy: Data driven insights

Resource characterization of sites in the vicinity of an island near a landmass

Review and application of Rainflow residue processing techniques for accurate fatigue damage estimation

Sensitivity analysis of offshore wind farm operation and maintenance cost and availability

Simulating Extreme Directional Wave Conditions

Testing Marine Renewable Energy Devices in an Advanced Multi-Directional Combined Wave-Current Environment

Testing the robustness of optimal access vessel fleet selection for operation and maintenance of offshore wind farms

The Industrial Doctorate Centre for Offshore Renewable Energy(IDCORE) - Case Studies

The SPAIR method: Isolating incident and reflected directional wave spectra in multidirectional wave basins

The effects of wind-induced inclination on the dynamics ofsemi-submersible floating wind turbines in the time domain

The power-capture of a nearshore, modular, flap-type wave energy converter in regular waves

UK offshore wind cost optimisation: top head mass (Presentation to All Energy, 10th May 2017)