请用英语将下面一段话描述的更加科学严谨:In this work, an adaptive P and PI control strategy is proposed for a solar-driven volumetric methane/steam reforming reactor (SVMSR) with passive thermal management, aiming at stabilizing both the output product components and hydrogen production rate under fluctuating solar radiation conditions. The idea of adaptive control is applied and the adaptation law is established to get the appropriate set-points of controllers by exploring the relationship between solar fluctuating characteristics and appropriate control target. P and PI controllers are coupled with a 2D multi-physical reactor model to achieve the control target. Finally, the adaptation law and P and PI control strategy are tested under actual fluctuating solar radiation. The results show that double controllers under the adaptation law can increase the average hydrogen yield and significantly reduce the fluctuation of hydrogen production rate while maintaining the stability of output product components under fluctuating radiation condition.
时间: 2023-02-26 15:53:19 浏览: 93
在这项研究中,针对具有被动热管理的太阳能驱动体积甲烷/蒸汽改性反应器(SVMSR),提出了一种自适应P和PI控制策略,旨在在太阳辐射条件变化的情况下稳定产品成分和氢产量。采用自适应控制的思想,通过探索太阳波动特征和适当控制目标之间的关系,建立了适应规律,以获得控制器的适当设置点。P和PI控制器与2D多物理反应器模型相结合,以实现控制目标。最后,在实际波动的太阳辐射下测试适应规律和P和PI控制策略。结果表明,在适应规律下的双控制器可以提高平均氢产量,并在保持产品成分的稳定的同时显着减少氢产量的波动。
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请用科学严谨的语言润色下面这段话:In this work, an adaptive P and PI control strategy is proposed for a solar-driven volumetric methane/steam reforming reactor (SVMSR) with passive thermal management, aiming at stabilizing both the output product components and hydrogen production rate under fluctuating solar radiation conditions. The idea of adaptive control is applied and the adaptation law is established to get the appropriate set-points of controllers by exploring the relationship between solar fluctuating characteristics and appropriate control target. P and PI controllers are coupled with a 2D multi-physical reactor model to achieve the control target. Finally, the adaptation law and P and PI control strategy are tested under actual fluctuating solar radiation. The results show that double controllers under the adaptation law can increase the average hydrogen yield and significantly reduce the fluctuation of hydrogen production rate while maintaining the stability of output product components under fluctuating radiation condition.
研究中,针对具有被动热管理特性的太阳能驱动的沼气/蒸汽改性反应器(SVMSR)提出了一种自适应P和PI控制策略,旨在在不断变化的太阳辐射条件下稳定产品组分和氢气产量。应用了自适应控制的思想,通过探索太阳变化特征与适当的控制目标之间的关系,建立了自适应法则,以获得适当的控制器设定点。P和PI控制器与2D多物理反应器模型相结合,以实现控制目标。最后,在实际变化的太阳辐射下测试了自适应法则和P和PI控制策略。结果表明,在变化的辐射条件下,双控制器在自适应法则的指导下可以提高平均氢气产量,同时在维持产品组分的稳定性的同时显著减少氢气产量的波动。
an adaptive neural network for unsupervised mosaic consistency analysis in i
针对图像拼接中自动拼接算法的挑战,研究人员提出了一种自适应神经网络,用于无监督图像拼接一致性分析。该算法采用两个步骤进行图像拼接。首先,使用一种自动对齐算法对输入的图像进行对齐。然后,使用适应性神经网络来对齐后的重叠区域进行一致性分析。该算法利用了多个尺度的图像金字塔以及神经网络的分层结构,以生成高质量的拼接图像。
该算法的主要优点是无需人工标注的数据集,可以自动适应不同的数据集,并适应多种不同的图像拼接情况。此外,该算法还具有较高的准确性和鲁棒性,可以在复杂的拼接环境中保持稳定的表现。
总体来说,这种自适应神经网络算法为无监督图像拼接一致性分析提供了一种高效和准确的解决方案。同时,该算法还为应用于自动驾驶、无人机、VR等领域中的数据拼接提供了可能。