Optimal wave energy control is noncausal as the control command is optimized based on incoming wave force. Therefore, implementation of wave energy control requires forecasting of future wave force. A real-time latching control algorithm based on short-term wave force prediction is developed in this study to tackle such noncausality. The future wave forces are forecasted using a gray model. The receding horizon strategy is used to optimize the control command online, over the prediction horizon interval. Based on the predicted wave forces, the power extraction is maximized by locking and releasing the buoy alternately according to the optimized control command. Simulation results show that the power extraction is increased substantially with implementation of the developed real-time latching control algorithm, even if the future wave forces are predicted. Effects of prediction length and prediction error on the energy conversion are examined. It is found that more wave energy is harvested when a long prediction length is employed while prediction error decreases the control efficiency. The extreme load of power takeoff system increases when the wave energy control is implemented although its travel distance is hardly varied.

中文翻译：

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基于波浪力预测的实时锁存控制算法的开发


最佳波浪能控制是非因果的，因为控制命令是根据传入的波浪力进行优化的。因此，实施波浪能控制需要对未来波浪力进行预测。本研究开发了一种基于短期波浪力预测的实时锁定控制算法来解决这种非因果性。使用灰色模型预测未来的波浪力。后退水平策略用于在预测水平区间内在线优化控制命令。根据预测的波浪力，根据优化的控制命令交替锁定和释放浮标，从而最大化功率提取。仿真结果表明，即使预测了未来的波浪力，通过实施开发的实时锁存控制算法，功率提取也显着增加。研究了预测长度和预测误差对能量转换的影响。研究发现，当预测长度较长时，可以收获更多的波浪能，但预测误差会降低控制效率。实施波浪能控制后，尽管动力输出系统的行程几乎没有变化，但其极限负载却增加了。