针对磁悬浮高速离心式鼓风机的喘振问题, 提出了一种基于磁悬浮轴承的喘振检测方法。该方法采用通用同频陷波器滤除转子位移中的同频分量, 消除了同频扰动对喘振检测的影响; 通过分析不同收敛因子对喘振频率估计的作用, 基于自适应估计提出了变收敛因子的喘振频率和幅值估计方法, 减小了低频信号的干扰, 提高了喘振信号检测的快速响应能力。最后, 分析了改进检测算法的收敛性, 并在100 kW磁悬浮离心式鼓风机测试系统上进行了实验验证。实验结果表明, 改进后的喘振检测算法可在喘振发生前检测出喘振先兆旋转失速信号, 在喘振发生0.23 s内检测出喘振信号, 较改进前的检测结果提高了2.6 s。该检测方法无需外加其它检测单元, 算法简单、快速, 计算量小、并可有效地反映喘振发生过程中频率与振幅的变化。

For the surge problem existing in a magnetically suspended high-speed centrifugal blower, a surge detection method based on a magnetic bearing was proposed. A universal co-frequency wave trap was adopted to filter the co-frequency components in the process of rotor displacement for eliminating the influences of co-frequency perturbation on surge detections. By analyzing effects of different convergence factors on estimated functions of surge frequency, an adaptive estimation algorithm with variable convergence factors was proposed to reduce the interference of low frequency signals and to improve the quick reaction capacity to surge signal detection. Finally, the convergence of the proposed detection method was analyzed, and a verification experiment was performed on a test system for the 100 kW magnetically suspended centrifugal blower. The experimental result shows that the improved surge detection algorithm detects premonitory signals of surge rotating stall before the surge occurs and detects surge signals within 0.23 s after the surge occurs, which shortens the detection time by 2.6 s as compared with that of common algorithms. The proposed algorithm is characteristics by simple, high velocity, less calculation and can be implemented without other auxiliary systems. Moreover, it can reflect the changes of frequency and amplitude during the surges.