Nonlinear Model Predictive Control of Wave Energy Converter

Abstract

In this report model predictive control (MPC) is applied to a simulated, spherical, point absorber wave energy converter to maximize energy extraction. Constraints are applied to the buoy\u27s displacement and the power take-off (PTO) generator force. The WEC\u27s truth” model uses nonlinear Froude-Krylov (FK) hydrostatic and hydrodynamic forces. This is in contrast with previous studies where linear approximations are used in the form of a hydrostatic stiffness force and a wave excitation force. The nonlinear forces become significant when the vertical displacement of the buoy exceeds about 40% of the buoy\u27s radius. Two versions of MPC are compared where optimal PTO forces are calculated based on (1) a linear model, called LMPC, and (2) the nonlinear model, called NLMPC. For the cases considered, the energy absorbed using NLMPC is greater than for LMPC. Furthermore, the linear MPC solution, when applied to the truth model

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