期刊文献+

Moments and Pasek's methods for parameter identification of a DC motor 被引量:1

Moments and Pasek’s methods for parameter identification of a DC motor
原文传递
导出
摘要 Time moments have been introduced in automatic control because of the analogy between the impulse response of a linear system and a probability function. Pasek described a testing procedure for determining the DC parameters from the current response to a step in the armature voltage motor. In this paper, two identification algorithms developed based on the moments and Pasek's methods are introduced and applied to the parameter identification of a DC motor. The simulation and experimental results are presented and compared, showing that the moments method makes the model closer to reality, especially in a transient regime. Time moments have been introduced in automatic control because of the analogy between the impulse response of a linear system and a probability function, Pasek described a testing procedure for determining the DC parameters from the current response to a step in the armature voltage motor, In this paper, two identification algorithms developed based on the moments and Pasek's methods are introduced and applied to the parameter identification of a DC motor, The simulation and experimental results are presented and compared, showing that the moments method makes the model closer to reality, especially in a transient regime.
机构地区 Université de Jijel
出处 《Journal of Zhejiang University-Science C(Computers and Electronics)》 SCIE EI 2011年第2期124-131,共8页 浙江大学学报C辑(计算机与电子(英文版)
关键词 IDENTIFICATION Moments method Pasek’s identification method Separately excited DC motor Identification, Moments method, Pasek's identification method, Separately excited DC motor
  • 相关文献

参考文献16

  • 1Basilio, J.C., Moreira, M.V., 2004. State-space parameter identification in a second control laboratory. 1EEE Trans. Educat., 47(2):204-210. [doi: 10.1109/TE.2004.824846].
  • 2Bentayeb, A., Maamri, N., Trigeassou, J.C., 2007. The moments in control: a tool for analysis, reduction and design. Int. J. Comput. Commun. Control, 2(1):17-25.
  • 3Burridge, M.J., Qu, Z., 2003. An improved nonlinear control design for series dc motors. Comput. Electr. Eng., 29(2):273-288. [doi:10.1016/S0045-7906(01)00035-0].
  • 4Chiasson, J., Bodson, M., 1993. Nonlinear control of shunt de motor. IEEE Trans. Automat. Control, 38(11):1662-1666. [doi:10.1109/9.262037].
  • 5Coirault, E, Trigeassou, J.C., Gaubert, J.E, Champenois, G., 1995. Parameter Estimation of an Induction Machine Using Reinitialized Partial Moment. IEEE Proc. Int. Conf. on Control Applications, p.979-984. [doi:10.1109/CCA. 1995.555888].
  • 6Etien, E., Gabano, J.D., Rambault, L., Trigeassou, J.C., Mehdi, D., 2000. Frequential Moments: Application to Control- ler Reduction. IEEE Proc. American Control Conf., p.2869-2873.
  • 7Goknar, I.C,, Kutuk, H., Kang, S.M., 2001. MOMCO: method of moment components for passive model order reduction of RLCG interconnects. IEEE Trans. Circ. Syst. I: Fundam. Theory Appl., 48(4):459-474. [doi:10.1109181.917 983].
  • 8Hadef, M., Bourouina, A., Mekideche, M.R., 2008. Parameter identification of adc motor via moments method. Iran. J. Eleetr. Comput. Eng., 7(2): 159-163.
  • 9Jung, Y.G., Cho, K.Y., Lim, Y.C., Park, J.K., Chang, Y.H., 1992. Time-Domain Identification of Brushless DC Motor Parameters. Proc. IEEE Int. Symp. on Industrial Electronics, 2:593-597. [doi:10.1109/ISIE.lg92.279670].
  • 10Kara, T., Eker, I., 2004. Nonlinear modeling and identification of a de motor for bidirectional operation with real time experiments. Energy Conv. Manag., 45(7-8): 1087-1106. [doi: 10.10160.enconman.2003.08.005].

同被引文献13

引证文献1

二级引证文献6

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部