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车载异步电动机静止参数辨识方法研究 被引量:1

Research on Parameter Identification Method of Induction Motor in Vehicle With Rotor at Standstill
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摘要 为了获取精确的电机参数,针对新能源汽车车载异步电动机连接负载的特点,对使用控制器实现静止状态下参数辨识的方法进行了研究。在异步电动机反Γ型等效电路的基础上,通过添加直流分量使重构电压误差线性化并补偿,采用单相实验,实现辨识电机定子电阻、转子电阻、漏感和互感。在一台车载异步电动机上进行了实验验证,辨识精度证明了该方法的可行性。 To obtain accurate motor parameters,in view of induction motor used in new energy vehicle connecting to the load,the method to acquire the parameters of motor with rotor at standstill using controller was studied.On the basis of the inverseΓ-form equivalent circuit of induction motor,the error of reconstructed voltage was linearized by adding direct current component and then compensated.The single-phase experimental was used to identify stator resistance,rotor resistance,leakage inductance and mutual inductance after this.The method was validated by experiments on an induction motor in new energy vehicle,and the precision of identification proves the feasibility of the method.
作者 林巨广 汪雷鸣 吴仕统 刘健 LIN Ju-guang;WANG Lei-ming;WU Shi-tong;LIU Jian(Hefei University of Technology,Hefei 230009,China)
机构地区 合肥工业大学
出处 《微特电机》 2019年第3期32-35,39,共5页 Small & Special Electrical Machines
关键词 异步电动机 参数辨识 直流分量 单相实验 补偿 induction motor parameter identification direct current component single-phase experiment,compensation
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  • 1陈全世,林拥军,张东民.电动汽车用铅酸电池放电特性的研究[J].汽车技术,1996(8):7-11. 被引量:24
  • 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廖权来,罗玉涛,高亮.电动汽车理论模型的建立及应用[J].汽车技术,1996(3):11-13. 被引量:5
  • 4王明渝,冼成瑜,惠娅倩.感应电动机矢量控制参数离线辨识技术[J].电工技术学报,2006,21(8):90-96. 被引量:17
  • 5Emara H M, Elshamy W, Bahgat A. Parameter identification of induction motor using modified particle swarm optimization algorithm[C]//IEEE International Symposium on Industrial Electronics. Cambridge, USA.. IEEE, 2008: 841-847.
  • 6Stephan J, Bodson M, Chiasson J. An adaptive method for induction motor control[C]//American Control Conference. San Francisco, USA: American Automatic Control Council & International Federation of Automatic Control, 1993: 655-659.
  • 7Marino P, Mungiguerra V, Russo F, et al. Parameter and state estimation for induction motors via interlaced least squares algorithm and Kalman filter[C]//27th Annual IEEE International Conference on Power Electronics Specialists Conference. Baveno, Italy: IEEE, 1996: 1235-1241.
  • 8Cirrincione M, Pucci M, Cirrincione G. Estimation of the electrical parameters of an induction motor with the TLS EX1N neuron[C]// Proceedings of the Fourth IEEE International Caracas Conference on Devices, Circuits and Systems. Oranjestad, Aruba: IEEE, 2002: 1034(1)-I034(8).
  • 9Cirrincione M, Pucci M, Cirrincione G, et al. A new experimental application of least-squares techniques for the estimation of the induction motor parameters[J]. IEEE Transactions on Industry Applications, 2003, 39(5): 1247-1256.
  • 10Cirrincione M, Pucci M, Cirfincione G, et al. Experimental identification of an induction motor considering the effects of main flux saturation by using a constrained minimization[C]//IEEE International Symposium on Industrial Electronics. Ajaccio, France: IEEE, 2004: 513-518.

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