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Adaptive hierarchical model predictive control of wave energy converter

Principal investigator: Guang LI
Funding source(s): WES Wave Energy Scotland
 Start: 01-04-2018  /  End: 04-04-2019
 Amount: £151,304
SEMS divisions:

This project proposes a hierarchical adaptive optimal control framework to maximise wave energy conversion efficiency while guaranteeing safe operation for a large range of sea states. The framework combines the strengths of several key promising technologies in control and wave prediction to adaptively achieve the best trade-off between energy maximisation and survivability. Our project partners include University of Exeter and Mocean Energy Ltd.