期刊文献+

无速度传感器感应电机转子断条的故障诊断 被引量:1

Fault Diagnosis for Broken Bar of Speed Sensorless Induction Motor
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摘要 在基于定子电流信号进行异步电机故障诊断时,转子断条故障特征频率分量常常被电流的基频分量淹没.针对这种情况,文中提出一种新型无速度传感器感应电机矢量控制转子断条故障方法.该方法通过转子反电动势与电流矢量的叉乘构建无功功率,然后对无功功率进行频谱分析,其中特征频率2sf被用作转子断条的故障诊断判据.同时利用该无功功率进行速度辨识和磁场定向校正,消除传统MRAS速度辨识定子磁链方程中定子电阻和积分项的影响.实验结果表明,该方法能有效进行转子断条故障诊断,并提高速度辨识精度,改善矢量控制性能. During the fault diagnosis of asynchronous motor based on stator current signals,the fault feature frequency component of broken bar always hides behind the fundamental component in the spectrum of the stator current.In order to solve this problem,a novel fault diagnosis method for the broken bar of speed sensorless induction motor is proposed based on the vector control.In this method,the reactive power is constructed by using the cross production of the rotor back electromotive force and the current vector,and then the corresponding reactive power spectrum is analyzed,with the characteristic frequency 2s f as the fault diagnosis criterion for the broken bar.Meanwhile,the reactive power is used to identify the speed and correct the magnetic field orientation,thus eliminating the impacts of the stator resistance and integral term of the traditional model reference adaptive system speed identification equation of stator flux.Experimental results demonstrate that the proposed method is effective in the fault diagnosis of broken bars,and that it can improve the speed identification accuracy as well as the vector control performance.
出处 《华南理工大学学报(自然科学版)》 EI CAS CSCD 北大核心 2011年第10期152-156,共5页 Journal of South China University of Technology(Natural Science Edition)
基金 国家"863"计划项目(2009AA11Z217) 湖南省科技厅项目(2010FJ3058)
关键词 无速度传感器 转子断条 故障诊断 矢量控制 无功功率 speed sensorless broken bar fault diagnosis vector control reactive power
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参考文献15

  • 1Elkasabgy N M, Eastham A R, Dawson G E. Detection of broken bars in the cage rotor on an induction machine [J]. IEEE Trans on Power Systems, 1992,28 ( 1 ) : 165- 171.
  • 2Sadoughi M, Ebrahimi M, Moalem. Intelligent diagnosis of broken bars in induction motors based on new features in vibration spectrum [ J ]. Journal of power electronics, 2008,8 (3) :228-238.
  • 3Bellini A, Filippetti F, Franceschini G, et al. Quantitative evaluation of induction motor broken bars by means of electrical signature analysis [ J ]. IEEE Transactions on Industrial Applition ,2001,37 ( 5 ) : 1248-1255.
  • 4牛发亮,黄进,杨家强,陈理渊,金海.基于感应电机启动电磁转矩Hilbert-Huang变换的转子断条故障诊断[J].中国电机工程学报,2005,25(11):107-112. 被引量:43
  • 5Oumaamar M E K, Khezzar A, Boucherma M, et al. Neu- tral voltage analysis for broken rotor bars detection in asynchronous motors using Hilbert transform phase [ C ]// Proeeedings of the 42nd IEEE IAS Annual Meeting. New Orleans: [ s. n. ] ,2007.
  • 6刘振兴,尹项根,张哲.基于Hilbert模量频谱分析的异步电动机转子故障在线监测与诊断方法[J].中国电机工程学报,2003,23(7):158-161. 被引量:98
  • 7侯新国,吴正国,夏立.基于Park矢量模平方函数的异步电动机转子故障检测方法研究[J].中国电机工程学报,2003,23(9):137-140. 被引量:55
  • 8Schoen R R, Habetler T G. Evaluation and implementation of a system to eliminate arbitrary load effects in current- based monitoring of induction machines [ J ]. IEEE Trans Ind Appl, 1997,33 (6) : 1571-1577.
  • 9Eltabach M, Charara A, Zein I. A comparison of external and internal methods of signal spectral analysis for broken rotor bars detection in induction motors[ J]. IEEE Trans Ind Electron ,2004,51 ( 1 ) : 107-121.
  • 10Kral C, Pirker F, Pascoli G. The impact of inertia on ro- tor fault effects--Theoretical aspects of the Vienna moni- toring method [ J ]. IEEE Trans Power Electron,2008,23 (4) :2136-2142.

二级参考文献53

  • 1陆海峰,瞿文龙,张磊,陈伟.一种基于无功功率的异步电机矢量控制转子磁场准确定向方法[J].中国电机工程学报,2005,25(16):116-120. 被引量:36
  • 2李建军,盛洁波,王翠,桂卫华.异步电机定转子参数的辨识方法研究[J].电工技术学报,2006,21(1):70-74. 被引量:37
  • 3张贤达.现代信号处理[M].北京:清华大学出版社,1994.510-513.
  • 4刘振兴 张哲 尹项根.一种新型的鼠笼式异步电动机转子故障在线监测和诊断方法[A]..中国高等学校电力系统及其自动化专业第十七届学术年会论文集(中)[C].福州,2001..
  • 5Dittrich A. Parameter sensitivity of procedures for on-line adaptation of the rotor time constant of induction machines with field oriented control[J]. IEEE Proceedings: Electric Power Applications, 1994, 141(6): 353-359.
  • 6Rehman H U, Derdiyok A, Guven M K, et al. An MRAS scheme for on-line rotor resistance daptation of an induction machine[C]//Vancouver, BC: Power Electronics Specialists conference (PESC), 2001 IEEE 32nd Annual, 2001.
  • 7Soto G G, Mendes E, Razck A. Reduced-order observers for rotor flux, rotor resistance and speed estimation for vector controlled induction motor drives using the extended Kalman filter technique[J]. IEEE Proceedings: Electric Power Applications, 1999, 146(3): 282-288.
  • 8Yu X, Dunnigan M W, Williams B W. A novel rotor resistance identification method for an indirect rotor flux-orientated controlled induction machine system[J]. IEEE Transactions on Power Electronics, 2002, 17(3): 353-364.
  • 9Cardoso A J M, Saraiva E S. On-line diagnostics of three-phase induction motors by parks vector[C]. Proceedings of the International Conference on Electrical Machines, held in Pisa, Italy, 1988.
  • 10Caxdoso A J M, Cruz S M A, Fonseca D S B. Inter-turn stator winding fault diagnosis in three-phase induction motors by Park's vector approach[J]. IEEE Transactions on Energy Conversion, 1999, 14(3):595-598.

共引文献224

同被引文献19

  • 1尚喆,赵荣祥,窦汝振.基于自适应滑模观测器的永磁同步电机无位置传感器控制研究[J].中国电机工程学报,2007,27(3):23-27. 被引量:142
  • 2Tawadros M, Rizk J, Nagrial M. Estimation of commutation instances using back emf mapping for sensorless control of brushless permanent magnet motors [ J ]. IET Electric Power Applications,2013,7 (4) : 270- 277.
  • 3Zhou Y, Soh Y C, Shen J X. Speed estimation and non- matched time-varying parameter identification for a DC motor with hybrid sliding-mode observer [ J ]. IEEE Transactions on Industrial Electronics, 2013,60 ( 12 ) : 5539-5549.
  • 4Zhao Y, Qiao W, Wu L. An adaptive quasi-sliding mode rotor position observer-based sensorless control for interior permanent magnet synchronous machines [ J ]. IEEE Transactions on Power Electronics, 2013,28 ( 12 ) : 5618- 5629.
  • 5Feng Y, Zheng J, Yu X, et al. Hybrid terminal sliding mode observer design method for a permanent-magnet synchronous motor control system [ J ]. IEEE Transactions on Industrial Electronics,2009,56(9) :3424-3431.
  • 6Serhoud H, Benattous D. Sensorless optimal power con- trol of brushless doubly-fed machine in wind power ge- nerator based on extended kalman filter [ J ]. International Journal of Systems Assurance Engineering and Manage- ment,2013,4( 1 ) :57-66.
  • 7Hsieh C S, Chen F C. Optimal solution of the two-stage Kalman estimator [ J ]. IEEE Transactions on Automatic Control, 1999,44 ( 1 ) : 194-199.
  • 8Hsieh C S, Chen F C. Optimal minimal-order least- squares estimators via the general two-stage Kalman filter [ J ]. IEEE Transactions on Automatic Control, 2001,46 (11) :1772-1776.
  • 9Hsieh C S, Chen F C. General two-stage Kalman filters [ J ]. IEEE Transactions on Automatic Control, 2000,45 (4) :819-824.
  • 10Kim K H ,Lee J G,Park C G. Adaptive two-stage extended Kalman filter for a fault-tolerant INS-GPS loosely cou- pled system [ J]. IEEE Transactions on Aerospace and Electronic Systems ,2009,45 ( 1 ) : 125-137.

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