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Data-Driven Model Predictive Control for Wave Energy Converters Using Gaussian Process
2022
Symmetry
The energy harvested by an ocean wave energy converter (WEC) can be enhanced by a well-designed wave-by-wave control strategy. One of such superior control methods is model predictive control (MPC), which is a nonlinear constrained optimization control strategy. A limitation of the classical MPC algorithm is its requirement of an accurate WEC dynamic model for real-time implementation. This article overcomes this challenge by proposing a data-driven MPC scheme for wave energy converters. The
doi:10.3390/sym14071284
fatcat:rkcw3hj6wnfhzc3o22ieqwtkem