Noncausal Multi-objective Nonlinear Control for a Hybrid Floating Offshore Wind-Wave Platform

This paper <b>presents</b> a nonlinear model predictive control framework for a hybrid floating offshore wind-wave platform <b>that integrates a wind turbine with a wave energy converter with multiple floats</b> to achieve multi-objective control tasks. The control framework simultaneously<b> maximizes wave energy extraction</b> and minimizes platform motions to <b>enhance operational safety. Nonlinear aerodynamic and hydrodynamic viscous effects are explicitly incorporated into the controller design to significantly improve control performance.</b> To <b>further improve control performance, wave prediction information is incorporated into</b> the control formulation to achieve non-causal optimality. The multiple shooting method and <b>a</b> sequential quadratic programming algorithm are employed to solve the control problem online with satisfactory computational efficiency. Numerical simulations under <b>various sea states</b> demonstrate that the proposed controller can <b>approximately double the harvested wave energy compared with existing control approaches </b>while maintaining platform motions within <b>safe operational limits. </b>