Abstract Both the time domain simulations based on potential flow theory and wave tank model tests are used to evaluate the motion responses of a wave energy device. In this work, system identification is applied to obtain the frequency dependent transfer functions (between motions and excitations) from a series of model test runs of a wave energy platform exposed to irregular (random) waves. This is the first application of Reverse-Multiple Input Single Output (R-MISO) to a realistically (catenary) moored system (typical characteristics of wave energy devices) comparing physical model tests with our in-house time domain simulation program with addition of a mooring model. Based on the comparisons between the transfer functions from the time domain simulations and those from the model tests, reasonable frequency dependent dampings have been directly pulled out from the test cases under random sea states. System identification derived corrections to the linear or quadratic damping in pitch significantly improved the accuracy of motion responses. In this sense, this methodology can be a powerful tool in assisting the accurate simulation and design of wave energy devices under random sea states.

中文翻译：

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系统辨识技术在浮动电力系统高效模型试验关联中的应用

摘要 基于势流理论的时域模拟和波浪水池模型试验均用于评估波浪能装置的运动响应。在这项工作中，系统识别用于从暴露于不规则（随机）波的波浪能平台的一系列模型测试运行中获得频率相关的传递函数（在运动和激励之间）。这是第一次将反向多输入单输出 (R-MISO) 应用于实际（悬链线）系泊系统（波浪能设备的典型特征），将物理模型测试与我们的内部时域模拟程序进行比较，并增加了一个系泊模型。基于时域仿真传递函数与模型测试传递函数的比较，从随机海况下的测试案例中直接提取了合理的频率相关阻尼。系统识别衍生的对俯仰线性或二次阻尼的校正显着提高了运动响应的准确性。从这个意义上说，这种方法可以成为辅助在随机海况下准确模拟和设计波浪能装置的有力工具。