考虑模型失配的波浪发电系统自适应优化控制OA

Traditional control strategies that rely solely on the current state information of buoy,which exhibit low energy capture efficiency.Moreover,variations in sea conditions and modeling errors lead to mismatches in the bu-oy model parameters,further diminishing the performance of the controller.To address these issues,a non-causal optimization strategy is proposed based on adaptive control.This strategy utilizes real-time system states and future excitation force information to design feedback and feed forward components,employing backward recursive calcu-lations of gain coefficients to derive the optimal control law.By using dynamic buoy information as input,the adap-tive strategy is designed to match hydrodynamic parameters online,thereby reducing energy loss caused by model mismatches.Simulation results demonstrate that,compared to the sub-optimal causal control strategy,the non-causal control strategy achieves the highest energy capture,effectively constrains system displacement and electro-magnetic force,and ensures safe system operation.Furthermore,in the presence of model mismatches,the pro-posed adaptive strategy effectively restores controller performance,enhancing wave energy capture rates under mis-matched conditions.