Model Predictive Control Strategy Based on Linear Regression for Wave Energy Converter

Implementing model predictive control (MPC) on the energy maximization control problem of wave energy converters (WECs) requires accurate prediction of future wave excitation forces within the predicted range. Due to the cost and precision of the excitation force measurement device and the computational burden of solving the problem of predicting the future excitation force, this limits its deployment in the actual marine environment. This study adopts an improved model predictive control strategy aimed at improving the economy and reliability of wave energy generation devices in the real ocean environment. The empirical regression equation between the wave exciting force and the float heave velocity is obtained through unary linear regression analysis. In the real-time MPC of WEC, the excitation force information required in traditional MPC is replaced by the velocity equivalent. Under the condition of irregular waves, the feasibility and effectiveness of the proposed method are proved by comparing the improved MPC control proposed in this paper with the traditional MPC control in the WEC simulation.