Self-adaptive Surge Adjustment based on Fast Correlation Integral Method in Centrifugal Compressors

Tao Sun, Guanghua Xu, Chunmei Zhang
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引用次数: 3

Abstract

The research result that correlation integral (i.e. CI) curve shows a continuous decrease of 1~2 second in CI amplitude until the advent of flow instability such as stall and surge opens a way for self-adaptive surge adjustment. However, the existing computational method of correlation integral curve is very time-consuming, which makes the promising control strategy fail to be used for real-time application. A fast algorithm of the curve computation is presented based on the concept of segmentation in this paper. The improved method is much faster than the existing one for all reduplicate computation of the number of correlated pairs is eliminated using our proposing propositions and criterions. Applying the improved method to some cases of our experiment, it is demonstrated that the correlation integral had a remarkable drop of about 0.25 order of magnitude prior to the development of surge and the elapsed time is much shorter than the requisite time of the existing method. The fast algorithm will motivate the real-time application of correlation integral curve to the control system using the value as the feedback threshold, which will extend the normal operating range of the centrifugal compressor.
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基于快速相关积分法的离心压缩机喘振自适应调节
相关积分(即CI)曲线显示CI幅值持续下降1~2秒,直至出现失速、喘振等流动不稳定现象,这一研究结果为喘振自适应调节开辟了道路。然而,现有的相关积分曲线计算方法非常耗时,使得有前途的控制策略无法用于实时应用。本文提出了一种基于分割概念的快速曲线计算算法。改进后的方法使用我们提出的命题和准则消除了相关对数目的重复计算,比现有的方法快得多。将改进后的方法应用于我们的一些实验实例,结果表明,在浪涌发生之前,相关积分显著下降了约0.25个数量级,所耗费的时间比现有方法所需的时间短得多。该快速算法将激励相关积分曲线实时应用于控制系统,并将其作为反馈阈值,从而扩大离心压缩机的正常运行范围。
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