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A performance comparison of nonlinear and linear control for a DC series motor / Una comparación de desempeño del control Lineal y no lineal de un motor de corriente continua

Resumen

The aim of this article is to compare the performance of linear and non-linear control in the case of a series wound DC motor. The research was focused on determining when the differences in the performance between these controllers are significant. The comparison was made on the MS150 feedback module and it included the phases of parameter estimation for the linear and the non-linear models, the statistical validation of these models and the design and implementation of the controllers. In order to make the comparison there were defined two performance criteria respectively based on the tracking error and on the control effort. These criteria were applied by considering three scenarios defined according to the range in which the velocity set point is varied. In the first scenario, the reference velocity remained constant and equal to the value of the operation point around which the linear model was obtained (60 %). In the second and third scenarios the reference velocity was respectively increased from 40% to 60% and from 20% to 100%. From the experimental tests it was observed for the scenarios two and three that the tracking error and the control effort for the linear controller are superior to the non-linear ones.  While for the first scenario, the linear controller presents a lower tracking error with an approximately equal control effort . From this work it was concluded that for reference velocities that are close to the operation point, the linear controller presents a significant advantage over non-linear controller.

Palabras clave

Control, DC Motor, System Identification, Dynamical Systems

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Biografía del autor/a

Carlos Felipe Rengifo Rodas

Ingeniero Eléctrico, Universidad del Valle, Cali, Colombia, 1996.
Magíster en Automática, Universidad del Valle, Cali, Colombia, 2000.
Magíster en Automática, Ecole Centrale de Nantes, Nantes, Francia, 2007.
Doctor en Automática, Robótica, Tratamiento de Señal e Informática Aplicada, Ecole Centrale de Nantes, Nantes, Francia, 2010.

Natalia Castro Casas

Ingeniera en Automática Industrial, Universidad del Cauca, (2015). Estudiante de Maestría en Automática, Robótica e Informática Aplicada, en la École Centrale de Nantes (Francia) 

Diego Alberto Bravo Montenegro

Profesor Titular Departamento de Física (Universidad del Cauca). Ingeniero Físico (2003), Esp. en Automatización Industrial (2007), Magíster en Ingeniería Automática (2012). Dr en Ciencias de la Electrónica (2016).


Citas

  1. A. T. Alexandridis and G. C. Konstantopoulos, “Modified PI speed controllers for seriesexcited DC motors fed by DC/DC boost converters,” Control Engineering Practice, vol. 23, pp. 14 – 21, 2014. DOI: https://doi.org/10.1016/j.conengprac.2013.10.009
  2. L. Amet, M. Ghanes, and J.-P. Barbot, “Super twisting based step-by-step observer for a DC series motor: Experimental results,” in IEEE
  3. International Conference on Control Applications
  4. (CCA), 2013, pp. 814 – 819.
  5. B. Boukhezzar and H. Siguerdidjane, “Comparison between linear and nonlinear control strategies for variable speed windturbines,” Control
  6. Engineering Practice, vol. 18, no. 12, pp. 1357 – 1368, 2010. DOI: https://doi.org/10.1016/j.conengprac.2010.06.010
  7. M. J. Burridge and Z. Qu, “An improved nonlinear control design for series DC motors,” in Proceedings of the 1997 American Control DOI: https://doi.org/10.1109/ACC.1997.610796
  8. Conference, 1997, pp. 1529 – 1533.
  9. S. Doradla and P. Sen, “Time ratio control (TRC) scheme for a DC series motor part II: Commutation circuit analysis,” Electrical Engineering Journal, Canadian, vol. 3, no. 2, pp. 44–48, April 1978. DOI: https://doi.org/10.1109/CEEJ.1978.6591134
  10. Y. Errami, M. Ouassaid, and M. Maaroufi, “A
  11. performance comparison of a nonlinear and a
  12. linear control for grid connected PMSG wind
  13. energy conversion system,” International Journal
  14. of Electrical Power & Energy Systems,
  15. vol. 68, no. 0, pp. 180 – 194, 2015. DOI: https://doi.org/10.1016/j.ijepes.2014.12.027
  16. U. Farooq, J. Gu, M. Asad, and G. Abbas, “Robust
  17. Takagi-Sugeno fuzzy speed regulator for
  18. DC series motors,” in 12th International Conference
  19. on Frontiers of Information Technology
  20. (FIT), 2014, pp. 79 – 86.
  21. M. Hadziselimovic, M. Blaznik, B. Stumberger,
  22. and I. Zagradisnik, “Magnetically nonlinear
  23. dynamic model of a series wound DC motor,”
  24. Electrical Review, vol. 87, no. 12b, pp. 60 – 64,
  25. M. Jabri, A. Belgacem, and H. Jerbi, “Moving
  26. horizon parameter estimation of series DC motor
  27. using genetic algorithm,” inWorld Congress
  28. on Nature & Biologically Inspired Computing,
  29. , pp. 1528 – 1531.
  30. S. Junco, A. Donaire, and G. Garnero, “Speed
  31. control of series DC motor: a bond graph based
  32. backstepping design,” in IEEE International
  33. Conference on Systems, Man and Cybernetics,
  34. vol. 3, 2002.
  35. A. Levant, “Universal single-input-singleoutput(
  36. siso) sliding-mode controllers with
  37. finite-time convergence,” IEEE Transactions
  38. on Automatic Control, vol. 46, no. 9, pp. 1447
  39. – 1451, Sept. 2001.
  40. Z. Liu, F. Luo, and M. Rashid, “Nonlinear
  41. speed controllers for series DC motor,” in
  42. Power Electronics and Drive Systems, 1999.
  43. PEDS ’99. Proceedings of the IEEE 1999 International
  44. Conference on, vol. 1, 1999, pp. DOI: https://doi.org/10.2469/cp.v1999.n4.2
  45. –338 vol.1.
  46. J. Martinez, P. Lopez, and J. Juarez, “Series
  47. wound DC motor modeling and simulation,
  48. considering magnetic, mechanical and electric
  49. power losses,” in Circuits and Systems, 2009.
  50. MWSCAS ’09. 52nd IEEE International Midwest
  51. Symposium on, Aug 2009, pp. 1073–1077.
  52. S. Mehta and J. Chiasson, “Nonlinear control
  53. of a series DC motor: Theory and experiment,”
  54. IEEE Transactions on Industrial Electronics,
  55. vol. 45, no. 1, pp. 134 – 141, Feb 1998. DOI: https://doi.org/10.1109/41.661314
  56. P. Sen and S. Doradla, “Time ratio control
  57. (TRC) scheme for a DC series motor part I:
  58. Performance,” Electrical Engineering Journal,
  59. Canadian, vol. 3, no. 2, pp. 39–43, April 1978.
  60. H. Tan, N. Rahim, and W. Hew, “A simplified
  61. fuzzy logic controller for DC series motor with
  62. improve performance,” in Fuzzy Systems, 2001.
  63. The 10th IEEE International Conference on,
  64. vol. 3, 2001, pp. 1523–1526. DOI: https://doi.org/10.1021/ol0158415
  65. P. Thounthong, P. Tricoli, and B. Davat, “Performance
  66. investigation of linear and nonlinear
  67. controls for a fuel cell/supercapacitor hybrid
  68. power plant,” International Journal of Electrical
  69. Power & Energy Systems, vol. 54, no. 0, pp.
  70. – 464, 2014.
  71. S. Valluru and N. Singh, M.and Kumar, “Implementation
  72. of NARMA-L2 neuro controller for
  73. speed regulation of series connected DC motor,”
  74. in IEEE 5th India International Conference on
  75. Power Electronics (IICPE), 2012, pp. 1 – 7.
  76. J. Yu, A. Jadbabaie, J. Primbs, and Y. Huang,
  77. “Comparison of nonlinear control design techniques
  78. on a model of the caltech ducted fan,”
  79. Automatica, vol. 37, no. 12, pp. 1971 – 1978,

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