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REAL TIME ESTIMATION AND PREDICTION OF WAVE EXCITATION FORCES ON A HEAVING BODY

机译:重体波激励力的实时​​估计与预测

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Wave energy converters (WECs) face many technical challenges before becoming a cost-competitive source of renewable energy. The levelized cost of electricity could be decreased by implementing real-time control strategies to increase average power produced by a WEC. These control strategies typically require knowledge of the immediate future excitation force, caused by the waves. This paper presents a disturbance prediction methodology that is independent of the local wave climate and can be implemented on a wide range of devices. A time-domain model of a generic heaving WEC is developed with the Cummins equations. The model is simulated with measured water surface elevation data collected off the Oregon Coast. A simplified linear frequency-invariant state-space model is used in conjunction with a Kalman filter to estimate the current excitation force with measurements of the WEC's motion. Future excitation forces are then predicted multiple steps in the future with a recursive least squares filter. The results show this approach makes accurate predictions of excitation force over short time horizons (up to 15 seconds), but accurate predictions become infeasible for longer horizons.
机译:在成为具有成本竞争力的可再生能源之前,波浪能转换器(WEC)面临许多技术挑战。可以通过实施实时控制策略来增加WEC产生的平均功率,从而降低平均电费。这些控制策略通常需要了解由波浪引起的立即的未来激励力。本文提出了一种不受当地浪潮影响的干扰预测方法,可以在各种设备上实现。利用康明斯方程开发了通用起振WEC的时域模型。该模型是使用俄勒冈海岸附近收集的实测水面高程数据进行模拟的。简化的线性频率不变状态空间模型与卡尔曼滤波器结合使用,可通过测量WEC的运动来估算当前的激励力。然后使用递归最小二乘滤波器预测未来的激励力的多个步骤。结果表明,该方法可以在较短的时间范围内(最长15秒)准确预测激励力,但对于较长的时间范围则无法进行准确的预测。

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