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间接矢量控制中的转子电阻辨识方法研究 被引量:3

Study on Rotor Resistance Estimation in Indirect Vector Controlled Induction Motor
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摘要 针对感应电机的间接磁场定向控制系统中转子电阻在低速时大范围变化造成定子电流和电磁转矩脉动严重的问题,依据模型参考自适应理论和瞬时无功功率理论,提出一种基于无功功率参考模型的转子电阻在线辨识方法。辨识模型不依赖于感应电机的定子电阻,对定转子电感和转速的变化鲁棒性好,准确观测转子磁链角,使得定子电流和电磁转矩的脉动减小。将该辨识算法应用于电动轮自卸车调速系统实验平台的感应电机转子电阻辨识,仿真结果表明,较未辨识转子电阻时系统性能得到了较明显改善,转子电阻辨识能够快速收敛于实际值,响应速度快,且对定转子电感的动态变化不敏感,能有效降低转子磁链观测误差,抑制定子电流和转矩脉动,在低速时控制性能提升显著,验证了辨识算法的正确性及其工程实用价值。 To solve problems such as serious stator current pulsation and torque ripple in induction motor control system based on indi- rect field oriented control (IFOC), which caused by the wide range rotor resistance changing at low speed. A kind of rotor resistance estimation method based on reactive-power reference model (RPRM) is proposed. The mentioned algorithm is constructed by theories of MRAS and instantaneous reactive power. It is independent of the stator resistance, and show high robustness with variable of stator in- duction, rotor induction and rotor speed, therefore, high precision rotor flux estimation, reducing rotor current and electromagnetic torque are achieved. Applying this scheme on the electric wheel dump truck experimental platform and estimates its rotor resistance. Simulations are carried out to verify the proposed strategy based on simulink, and compared to the strategy without rotor resistance esti- mation. Simulation results show that the estimation method improve control performance remarkable. It can achieve high precision and fast track of the rotor resistance dynamic process, and observe the rotor flux with high precision. Thus it can greatly reduce current pul- sation and torque ripple, which verify its practical value.
出处 《控制工程》 CSCD 北大核心 2014年第6期838-842,共5页 Control Engineering of China
基金 国家自然科学基金资助项目(51177040 51477047) 湖南省自然科学湘潭市联合基金重点资助项目(13JJ8022) 湖南省机械设备健康维护重点实验室开放基金资助项目(201104)
关键词 感应电机 间接磁场定向控制 无功功率参考模型 转子电阻辨识 电动轮自卸车 Induction motor IFOC reactive-power reference model rotor resistance estimation the electric wheel dump truck
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  • 1杜圣峰,沈艳霞,纪志成.基于FMRAS的感应电动机转子电阻辨识研究[J].微特电机,2008,36(10):51-54. 被引量:2
  • 2刘国荣,周平.直接转矩控制中的定子电阻辨识方法研究[J].控制工程,2012,19(1):41-43. 被引量:4
  • 3吴玲丽,沈艳霞.感应电机转子电阻辨识及速度控制策略[J].控制工程,2009,16(S2):148-151. 被引量:3
  • 4Hadjeri S,Mezouar A,Chikouche T M.Robust speed control with rotor resistance estimation[J].Electrical and Computer Engineering,2013,36(2):43-51.
  • 5Salmasi F R,Najafabadi T A,Jabehdar-Maralani P.An Adaptive Flux Observer With Online Estimation of DC-Link Voltage and Rotor Resistance For VSI-Based Induction Motors[J].IEEE Transactions on Power Electronics,2010,25 (5):1310-1319.
  • 6Salmasi F R,Najafabadi T A.An Adaptive Observer With Online Rotor and Stator Resistance Estimation for Induction Motors With One Phase Current Sensor[J].IEEE Transactions on Energy Conversion,2011,26(3):959-966.
  • 7Godpromesse K,Tarek A A,Amir A,et al.An improved rotor resistance estimator for induction motors adaptive control[J].Electric Power Systems Research,2011,11 (20):930-941.
  • 8Wang A Y,Ling Z H.Auto-tuning rotor resistance identification of induction motor considering iron loss[J].Third International Symposium on Intelligent Information Technology Application,2009,2(12):586-589.
  • 9Godpromesse K,Rostand S S.An online simplified rotor resistance estimator for induction motors[J].IEEE Transactions ou Control Systems Technology,2009,18(5):1-7.
  • 10Minh T C,Hoang L H.Rotor resistance estimation using fuzzy logic for high performance induction motor drives[J].Third International Symposium on Intelligent Information Technology Application,2008,1(8):303-308.

二级参考文献78

共引文献136

同被引文献37

  • 1韩坤,冯晓云,葛兴来,孙鹏飞.动车组牵引电动机全速域控制的研究与仿真[J].电工技术学报,2011,26(S1):297-302. 被引量:4
  • 2金海,黄进.基于模型参考方法的感应电机磁链的自适应观测及参数辨识[J].电工技术学报,2006,21(1):65-69. 被引量:36
  • 3VOLKER B. Unmanned Surface Vehicles-A Survey [ D ]. Copenhagen: Skibsteknisk Selskab, 2008.
  • 4KOYAMA K. Analysis of Full-Scale Measurement of Manoeuvrability by Trim and Error Methods [ R ]. Ship- Building Laboratory, University of Tech. Delft, 1971.
  • 5ABKOWITZ M A. Measurement of Hydrodynamic Char- acteristic from Ship Maneuvering Trials by System Identi- fication[ J ]. Transactions of Society of Naval Architects and Marine Engineers, 1980 (88) : 283-318.
  • 6HAYES M N. Parameters Identification of Nonlinear Sto- chastic Systems Applied to Ocean Vehicle Dynamics [ D]. Ph.D. Dissertation, M. I. T. , 1971.
  • 7VAN A J. Adaptive Steering of Ships-A Model Refer- ence Approach[J]. Automatica, 1984, 20(1) :3-14.
  • 8ASTROM K J, KALLSTR~M C G. Identification of Ship Steering Dynamics[ J]. Automatica, 1976(12) :9-22.
  • 9ZHOU W W, BLANKE M. Identification of a Class of Nonlinear State-Space Models Using RPE Techniques [ J]. IEEE Transaction on Automatic Control, 1989, 34 (3) :312-316.
  • 10MOREIRA L, GUEDES S C. Dynamic Model of Ma- noeuvrability Using Recursive Neural Networks [ J ]. Ocean Engineering, 2003, 30(13) : 1669-1697.

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