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A research on the compressor blade tip pressure modeling and stall detection measure

机译:压气机叶尖压力建模及失速检测措施研究

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摘要

A new compressor rotational stall detection algorithm is proposed in this paper, and a well monotonicity exists in the correlation coefficient calculated by the algorithm and compressor surge margin. In order to reconstruct the compressor blade pressure, a trustworthy digital compressor blade pressure model is built. Specially, the model consists of three sub-models, the blade duct pressure model, rotational stall pulsation pressure model, and corrected rotational stall damping model. Simulation results indicate the effectiveness of the stall detection algorithm and compressor stochastic pressure model, which means that the correlation coefficient calculated from the algorithm and stochastic pressure model has a high reliability to take the place of surge margin as the flag of compressor stability.
机译:提出了一种新的压缩机旋转失速检测算法,该算法计算出的相关系数与压缩机喘振裕量之间存在良好的单调性。为了重建压缩机叶片压力,建立了一个值得信赖的数字压缩机叶片压力模型。特别地,该模型由三个子模型组成:叶片管道压力模型,旋转失速脉动压力模型和校正的旋转失速阻尼模型。仿真结果表明了失速检测算法和压缩机随机压力模型的有效性,这意味着通过算法和随机压力模型计算出的相关系数具有较高的可靠性,可以代替喘振裕度作为压缩机稳定性的标志。

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