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用减少顺序模型估计流量场
Kamil David Sommer1, Lucas Reineking1, Yogesh Parry Ravichandran2
1Automatic Control and Systems Theory, Ruhr-Universität Bochum, Universitätsstr. 150, 44801, Bochum, Germany.
Heliyon
|November 6, 2023
概括
离心中的实时流体流量估计是使用基于投影的减少顺序模型 (ROM) 和扩展的卡尔曼波器实现的. 这种方法准确地预测速度和压力场,克服传统技术的计算局限性.
科学领域:
- 流体力学 流体力学 流体力学
- 计算工程 计算工程
- 控制系统 控制系统
背景情况:
- 由于计算成本高,对离心中的流体流量的实时估计在传统的计算流体动力学 (CFD) 中是很困难的.
- 现有的方法缺乏即时监测和控制性能所需的速度.
研究的目的:
- 开发一种计算效率高的方法,用于实时估计离心内的速度和压力场.
- 通过克服已建立的CFD方法的局限性,使内部流体动态的监控成为可能.
主要方法:
- 为流体-固体领域开发了一个基于投影的减少顺序模型 (ROM),将整个系统视为流体来容纳移动的刚性物体.
- 使用一个贪的算法来优化传感器的位置,尽量减少测量位置,同时确保可观测性.
- 使用了一个扩展的卡尔曼波器,结合了来自非线性速度ROM的时间变量可观测矩阵,以进行强大的状态估计.
主要成果:
- 该研究成功地实施了对不稳定的雷诺兹-平均纳维尔-斯托克斯 (URANS) CFD模拟的2D离心的速度和压力ROM的验证.
- 扩展的卡尔曼波器证明了对内部流量场的强大而准确的估计.
- 贪的算法有效地识别了最小的传感器位置,以实现最佳的系统监控.
结论:
- 开发的基于ROM的观察器为离心中的实时流体流量估计提供了一个计算可行的解决方案.
- 这种方法显著提高了监测和潜在控制轮机器复杂流体动态的能力.
- 将ROM与卡尔曼过集成为流体系统的先进诊断提供了一个强大的工具.
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