Study on Model Predictive Control for the Wave Energy Converter with a Linear Generator
Study on Model Predictive Control for the Wave Energy Converter with a Linear Generator
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线性发电机波能转换器模型预测控制研究
DOI：
10.2534/jjasnaoe.28.27
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
S. Inoue
中科院分区：
文献类型：
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作者：
Jun Umeda;H. Goto;T. Fujiwara;Tomoki Taniguchi;S. Inoue
提出了一些主动控制，以最大限度地提高点吸收器型波能转换器（WEC）与线性发电机的功率生产。然而，所提出的传统控制具有一些问题，例如，不能考虑约束条件。模型预测控制（MPC）作为解决这些问题的一种替代方法受到了人们的关注。在本文中，MPC的性能与线性发电机的WEC进行了评估，通过实验和数值模拟。在规则波的实验中，MPC的性能与传统的发电量控制相当合理。此外，MPC是更有效的比传统的控制不规则波，具有宽带谱分布。不规则波中的数值模拟分析了所提出的MPC的三个特点。首先，研究了由于波浪预测误差而导致的发电量减少的程度。其次，研究了模型预测控制的最佳预测范围。仿真结果表明，在不规则波中，MPC的预测层位需要大于平均波周期。最后，在位移约束条件下比较了MPC与传统控制的性能。结果表明，在位移约束条件下，本文提出的预测控制比传统控制更有效。
Some active controls were proposed to maximize the power production for the point absorber type wave energy converter (WEC) with a linear generator. However, proposed conventional controls have some problems, e.g. constraint conditions cannot be considered. Model predictive control (MPC) has attracted attention as an alternative method to solve these problems. In this paper, the performance of the MPC for the WEC with the linear generator was evaluated by experiments and numerical simulations. In the experiments in regular waves, the MPC performance was comparable to the conventional control of the power production amount reasonably. Furthermore, the MPC was more effective than the conventional control in irregular waves which has broadband spectral distribution. The numerical simulations in the irregular waves analyzed three characteristics of the proposed MPC. Firstly, it was investigated how much the power production decreased due to wave predictive error. Secondly, the best predictive horizon of the proposed MPC was investigated. The simulation result showed the predictive horizon of the MPC needs to be longer than the averaged wave period in irregular waves. Finally, performance of the MPC was compared with that of the conventional control under displacement constraints. It was confirmed the MPC presented in this paper was more effective than the conventional control under the displacement constraints.