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A New Sliding Mode Control for Set-point Regulation of Second Order LTI Nonminimum Phase Systems

이차 선형 시불변 비최소 위상 시스템의 설정값 조정을 위한 새로운 슬라이딩 모드 제어

  • 이하준 (한국과학기술원 전자전산학부 전기 및 전자공학) ;
  • 박철훈 (한국과학기술원 전자전산학부 전기 및 전자공학)
  • Published : 2007.10.01

Abstract

We deal with second order NMP(Non-Minimum Phase) systems which are difficult to control with conventional methods because of their inherent characteristics of undershoot. In such systems, reducing the undesirable undershoot phenomenon makes the response time of the systems much longer. Moreover, it is impossible to control the magnitude of undershoot in a direct way and to predict the response time. In this paper, we propose a novel two sliding mode control scheme which is capable of determining the magnitude of undershoot and thus the response time of NMP systems a priori. To do this, we introduce two sliding lines which are in charge of control in turn. One is used to stabilize the system and achieve asymptotic regulation eventually like the conventional sliding mode methods and the other to stably control the magnitude of undershoot from the beginning of control until the state meets the first sliding line. This control scheme will be proved to have an asymptotic regulation property. The computer simulation shows that the proposed control scheme is very effective and suitable for controlling the second order NMP system because it can decide the magnitude of undershoot in a direct and stable way and reduce the response time compared with the conventional ones.

Keywords

References

  1. B. A. Leon de la Barra, 'On undershoot in SISO systems,' IEEE Trans. Automat. Contr., vol. 39, no. 3, pp. 578-581, Mar. 1994 https://doi.org/10.1109/9.280763
  2. M. Vidyasagar, 'On undershoot and nonminimum phase zeros,' IEEE Trans. Automat. Contr., vol. 31, no. 5, pp. 440-440, May 1986
  3. B. Francis and W. M. Wonham, 'The internal model principle of control theory,' Automatica, vol. 12, pp. 457-465, 1976 https://doi.org/10.1016/0005-1098(76)90006-6
  4. A. lsidori and C. I. Byrnes, 'Output regulation of nonlinear systems,' IEEE Trans. Automat. Contr., vol. 35, no. 2, pp. 131140, Feb. 1990 https://doi.org/10.1109/9.45168
  5. S. Devasia, D. Chen, and B. Paden, 'Nonlinear inversion-based output tracking,' IEEE Trans. Automat. Contr., vol. 41, no. 7, pp. 930-942, July 1996 https://doi.org/10.1109/9.508898
  6. B. Widrow and S. D. Stearns, Adaptive Signal Processing, Englewood Cliffs, NJ: Prentice Hall, 1985
  7. S. Park, L.-J. Park, and C. H. Park, 'A neuro-genetic controller for nonminimum phase systems,' IEEE Trans. Neural Networks, vol. 6, no. 5, pp. 1297-1300, Sept. 1995 https://doi.org/10.1109/72.410379
  8. D. Nam, H. Lee, S. Park, L.-J. Park, and C. H. Park, 'A multi objective evolutionary neuro-controller for nonminimum phase systems,' IEICE Transactions on Information and Systems, vol. E87-D, no. 11, pp. 2517-2520, Nov. 2004
  9. D. Antic and S. Dimitrijevic, 'Non-minimum phase plant control using fuzzy sliding mode,' Electronic Letters, vol. 34, no. 11, pp. 1156-1158, May 1998 https://doi.org/10.1049/el:19980827
  10. H.-S. Jeong and V. I. Utkin, 'Sliding mode tracking control of systems with unstable zero dynamics,' in Variable structure systems: sliding mode and nonlinear control, K. Young and U. Ozguner, Eds. London: Springer, pp. 303-327, 1999
  11. C. Bonivento, L. Marconi, and R. Zanasi, 'Output regulation of nonlinear systems by sliding mode,' Automatica, vol. 37, no. 4, pp. 535-542, Apr. 2001 https://doi.org/10.1016/S0005-1098(00)00184-9
  12. I. A. shkolnikov and Y. B. Shtessel, 'Tracking in a class of nonminimum-phase systems with nonlinear internal dynamics via sliding mode control using method of system center,' Automatica, vol. 38, no. 5, pp. 837-842, May 2002 https://doi.org/10.1016/S0005-1098(01)00275-8
  13. S. Gopalswamy and J. K. Hedrick, 'Tracking nonlinear non-minimum phase systems using sliding control,' International Journal of Control, vol. 57, no. 5, pp. 1141-1158, 1993 https://doi.org/10.1080/00207179308934436
  14. R. H. Middleton, 'Trade-offs in linear control system design,' Automatica, vol. 27, no. 2, pp. 281-292,1991 https://doi.org/10.1016/0005-1098(91)90077-F
  15. K. Lau, R H. Middleton, and J. H. Braslavsky, 'Undershoot and settling time tradeoffs for nonminimum phase systems,' IEEE Trans. Automat. Contr., vol. 48, no. 8, pp. 1389-1393, Aug. 2003 https://doi.org/10.1109/TAC.2003.815025
  16. H. K. Khalil, Nonlinear Systems, 3rd 00. Upper Saddle River, NJ: Prentice Hall, 2002
  17. K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan, 'A fast and elitist multiobjective genetic algorithm: NSGA-II,' IEEE Trans. Evol Comput., vol. 6, no. 2,pp. 182-197, Apr. 2002 https://doi.org/10.1109/4235.996017
  18. K. Deb, Multi-objective Optimization Using Evolutionary Algorithms, Wiley, 2001