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Chaotic time series analysis tools for identification and stabilization of rotating stall precursor events in high speed compressors.

机译:用于识别和稳定高速压缩机中旋转失速前兆事件的混沌时间序列分析工具。

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This research is a culmination of analytic and experimental results in the application of chaotic time series methods for rotating stall precursor identification in transonic compressors. This is the first known application of such techniques in a turbomachinery application. The nonlinear analysis methods used in this research are distinguished from previous methods in that they use a single pressure transducer to capture the fluid physical dynamics to detect stall inception behavior. The major objective of this research is two-fold: to present a new technique for stall precursor identification in high speed compressors and to reveal through preliminary open-loop control testing that nonlinear instabilities can be controlled through jet injection. The technique to be researched is a pseudo-correlation integral method referred to as the correlation method. To provide a basis for comparison, the traveling wave energy technique, which has been used extensively to study pre-stall data, is also briefly presented and applied. The correlation method is shown to have a potential advantage over the traveling wave energy method, because it uses a single sensor for detection and requires no predisposition of the data to distinguish changes in the behavior of the compressor. The correlation integral method will identify incipient stall formation (or varying dynamics in the compressor) for data captured from many compressor configurations. The compressors used include the NASA Lewis single stage high speed compressor, the Allied Signal T-55 axi-centrifugal multistage core compressor, and the NASA CC3 high speed centrifugal compressor. An additional method, the structure function algorithm, is also shown as a single sensor incipient stall detector. Both these algorithms are successful in the prediction of compressor stall. A control example in the final chapter using reduced order, high velocity, jet injection is shown to reduce stalling mass flow of the compressor. It is concluded that a single sensor stall detector may be used in conjunction with a small array of air injectors to control rotating stall.
机译:这项研究是在混沌时间序列方法用于跨音速压缩机旋转失速前驱物识别中的分析和实验结果的总结。这是这种技术在涡轮机械应用中的第一个已知应用。本研究中使用的非线性分析方法与以前的方法不同,因为它们使用单​​个压力传感器捕获流体物理动力学来检测失速开始行为。这项研究的主要目的有两个方面:提出一种用于高速压缩机中失速前兆识别的新技术,并通过初步的开环控制测试揭示出可以通过喷射注入来控制非线性不稳定性。要研究的技术是被称为相关方法的伪相关积分方法。为了提供比较的基础,还简要介绍并应用了已广泛用于研究失速数据的行波能量技术。相关方法显示出比行波能量方法具有潜在的优势,因为它使用单个传感器进行检测,并且不需要数据的先验即可区分压缩机性能的变化。相关积分方法将识别从许多压缩机配置中捕获的数据的初期失速形成(或压缩机中动态变化)。所使用的压缩机包括NASA Lewis单级高速压缩机,Allied Signal T-55轴心离心多级核心压缩机和NASA CC3高速离心压缩机。结构函数算法是另一种方法,也显示为单传感器初始失速检测器。这两种算法均能成功预测压缩机失速。最后一章中的控制示例使用了降序高速喷射,以减少压缩机的失速质量流量。结论是,单个传感器失速检测器可以与一小排空气喷射器结合使用以控制旋转失速。

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