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Identification of Wave Energy Device Models From Numerical Wave Tank Data—Part 2: Data-Based Model Determination

机译:从数值波箱数据中识别波能设备模型—第2部分:基于数据的模型确定

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In this paper and its companion, the identification of mathematical models describing the behaviour of wave energy devices (WECs) in the ocean is investigated through the use of numerical wave tank experiments. When the wave amplitude and the WEC displacement are not negligible with respect to the WEC dimensions, nonlinear hydrodynamic effects may appear, and the accuracy of linear hydrodynamic models is reduced, leading to the necessity of introducing some nonlinearities in the model structure. This paper proposes, for WEC modelling, the use of discrete-time nonlinear autoregressive with exogenous input (NARX) models, as an alternative to continuous-time models. Techniques of model identification are also explained and applied to a case study.
机译:在本文及其伴随文件中,通过使用数值波箱实验研究了描述海洋中波能设备(WEC)行为的数学模型的识别。当波幅和WEC位移相对于WEC尺寸不可忽略时,可能会出现非线性流体动力效应,从而降低了线性流体动力模型的精度,从而导致在模型结构中引入一些非线性的必要性。对于WEC建模,本文提出使用具有外部输入的离散时间非线性自回归(NARX)模型作为连续时间模型的替代方法。还说明了模型识别技术,并将其应用于案例研究。

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