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Model predictive control of a multi-degree-of-freedom wave energy converter with model mismatch and prediction errors

机译:具有模型失配和预测误差的多程度自由度波能量转换器的模型预测控制

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摘要

The power captured by a wave energy converter (WEC) can be greatly increased through the use of a wellconceived wave-by-wave control strategy. Optimal strategies including Model Predictive Control (MPC) rely on a dynamic model of the WEC and prediction of the wave excitation force several seconds into the future. Both the modelling and prediction processes are subject to errors. This study investigates the impact of these errors on the performance of a WEC under MPC. Idealised simulations are conducted to establish a suitable prediction horizon and establish a performance benchmark against an optimally tuned passively damped system. Power increases of over 200% are seen. The assumptions of perfect prediction and system modelling are progressively removed, culminating in multi-body simulation of a specific multi-DOF submerged point absorber WEC with constrained MPC. Under realistic conditions, the power gain is a more modest 30% at best across the tested sea states, demonstrating that these errors have a significant impact on performance. However, the ability to use constraints to limit motion in high energy seas and the tunability of the control law are valuable attributes for practical deployment. Overall the performance gains demonstrate the benefits of such control strategies for application to multi-DOF WECs.
机译:通过使用界面的逐波控制策略,可以大大增加由波能转换器(WEC)捕获的功率。包括模型预测控制(MPC)在内的最佳策略依赖于WEC的动态模型,并将波浪激励力的预测到未来的几秒钟。建模和预测过程都受到错误。本研究调查了这些错误对MPC下WEC性能的影响。进行理想化模拟以建立合适的预测地平线,并对用于最佳调整的被动阻尼系统建立性能基准。可以看到超过200%的功率增加。完美预测和系统建模的假设是逐步去除的,最终在具有约束MPC的特定多DOF浸没点吸收器WEC的多体模拟中。在现实的条件下,功率增益在测试的海区最佳地是30%的更为温和,表明这些误差对性能产生了重大影响。然而,使用限制以限制高能量海洋运动的限制以及控制法的可调性是实际部署的有价值的属性。总的来说,性能提升展示了这种控制策略的利益,用于应用于多-COF WECS。

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