磁悬浮高速离心式鼓风机的喘振检测

韩邦成; 王凯; 郑世强; 张寅

doi:10.3788/OPE.20172504.0910

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磁悬浮高速离心式鼓风机的喘振检测

微纳技术与精密机械 | 更新时间：2020-07-07

- 磁悬浮高速离心式鼓风机的喘振检测
- Surge detection of magnetically suspended high-speed centrifugal blower
- 光学精密工程 2017年25卷第4期页码：910-918
- 作者机构：
  
  1.北京航空航天大学惯性技术重点实验室新型惯性仪表与导航系统技术国防重点学科实验室, 北京 100191
  2.北京市高速磁悬浮电机技术及应用工程技术研究中心, 北京 100191
- 作者简介：
  
  [ "韩邦成 (1974-)，男，辽宁灯塔人，博士，研究员，2004年于中国科学院长春光学精密机械与物理研究所获得博士学位，主要从事磁悬浮技术及应用、磁悬浮电机、磁悬浮飞轮与磁悬浮控制力矩陀螺技术等机电一体化技术的研究。E-mail:hanbangcheng@buaa.edu.cn" ]
  王凯 (1992-), 男, 安徽休宁人, 硕士研究生, 2014年于合肥工业大学获得学士学位, 研究方向为磁悬浮高速电机磁轴承控制。E-mail:wangkai_199201@163.com WANG Kai, E-mail:wangkai_199201@163.com
- 基金信息：
  
  中央高校基本科研业务费专项资金资助项目(No.YWF-16-BJ-J24);国家自然科学基金资助项目(No.61573032);国家重大科学仪器设备开发专项资助项目(No.2012YQ040235)
- DOI：10.3788/OPE.20172504.0910
  中图分类号： TH442
- 收稿日期：2016-08-16，
  
  录用日期：2016-10-16，
  
  纸质出版日期：2017-04-25
- 稿件说明：
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韩邦成, 王凯, 郑世强, 等. 磁悬浮高速离心式鼓风机的喘振检测[J]. 光学精密工程, 2017,25(4):910-918.

Bang-cheng HAN, Kai WANG, Shi-qiang ZHENG, et al. Surge detection of magnetically suspended high-speed centrifugal blower[J]. Optics and precision engineering, 2017, 25(4): 910-918.
韩邦成, 王凯, 郑世强, 等. 磁悬浮高速离心式鼓风机的喘振检测[J]. 光学精密工程, 2017,25(4):910-918. DOI： 10.3788/OPE.20172504.0910.

Bang-cheng HAN, Kai WANG, Shi-qiang ZHENG, et al. Surge detection of magnetically suspended high-speed centrifugal blower[J]. Optics and precision engineering, 2017, 25(4): 910-918. DOI： 10.3788/OPE.20172504.0910.

摘要

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。

Abstract

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.

关键词

Keywords

references

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