利用WecOptTool对LUPA的PTO进行控制协同设计和不确定性分析

Carlos Michelen Strofer, Ryan Coe, D. Gaebele, Courtney Beringer, Bret Bosma, Bryson Robertson, Giorgio Bacelli, Michael Devin
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引用次数: 0

摘要

控制协同设计已被证明可以显著提高波浪能转换器的性能。通过同时考虑控制和WEC设计,大大扩展了优化程序的搜索空间,从而获得了性能更好的设备。最近,开源的WEC协同设计代码WecOptTool发布,用于进行控制协同设计研究,并促进其在社区中的采用。在本研究中,我们使用WecOptTool对LUPA器件进行控制协同优化和不确定度分析。实验室升级点吸收器(LUPA)是一个新的开源实验室规模的WEC,为测试新概念、创新控制方案和验证数值模型提供了一个平台。LUPA可以调整到不同的配置,包括改变物体的数量,自由度(DOF),浮子和桅杆的几何形状,以及动力起飞(PTO)系统中驱动链轮滑轮的直径,以及提供不同的控制算法和输入波。驱动链轮直径影响发电机的扭矩和转速,这使得在不同的波浪条件下或不同的控制方案下运行更灵活。在本研究中,我们对驱动链轮直径进行优化,同时考虑每个潜在设计的最优控制算法,以确定PacWave South WEC试验场电力生产的最优直径。该案例研究展示了WecOptTool的几个新功能,包括多体多自由度系统和多向不规则波。采用第一性原理方法建立了机械子部件的参数化模型,并结合幂不变帕克变换得到的发电机模型对PTO动力学进行了建模。案例研究将作为LUPA硬件的设计工具提供。在使用物理LUPA设备进行测试之前,用户可以很容易地使用该模型来执行自己的设计优化。最后,我们利用WecOptTool的自动区分功能对LUPA器件进行了灵敏度和不确定度分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Control co-design and uncertainty analysis of the LUPA’s PTO using WecOptTool
Control co-design has been shown to significantly improve the performance of wave energy converters (WEC). By considering the control and WEC design concurrently, the space searched by the optimization routine is greatly expanded which results in better performing devices. Recently, an open-source WEC co-design code, WecOptTool, was released to perform control co-design research and facilitate its adoption in the community. In this study, we use WecOptTool to perform control co-optimization and uncertainty analysis of the LUPA device. The Laboratory Upgrade Point Absorber (LUPA) is a new open-source laboratory-scale WEC that provides a platform for testing new concepts, innovating control schemes, and validating numerical models. The LUPA can be adjusted to different configurations, including changing the number of bodies, the degrees of freedom (DOF), the float and spar geometry, and the diameter of the drive sprocket pulley in the power take off (PTO) system, as well as providing different control algorithms and input waves. The drive sprocket diameter influences the torque vs speed of the generator, which allows for more flexibility in operating under different wave conditions or with different control schemes. In this study we optimize the drive sprocket diameter, while considering the optimal control algorithm for each potential design, to identify the optimal diameter for electric power production at the PacWave South WEC test site. This case study demonstrates several new capabilities of WecOptTool including a multi-body multi-DOF system and multi-directional irregular waves. The PTO dynamics are modeled using first principle methods for a parametrized model of the mechanical subcomponents in combination with generator model obtained using a power-invariant Park transform. The case-study will be made available to serve as a design tool along the LUPA hardware. Users can readily use this model to perform their own design optimization prior to testing with the physical LUPA device. Finally, we use the automatic differentiation capability of WecOptTool to perform a sensitivity and uncertainty analysis of the LUPA device.
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