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Experimental application of subspace model identification of an unstable system

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Abstract

In this paper, an experimental application of subspace identification on an unstable inverted pendulum is considered. The work presents the controller design for the cart-inverted pendulum system. Modeling of an inverted pendulum system is discussed. The linearized model of the nonlinear system has one unstable and two stable poles. A PID controller is designed based on the pole placement method. Using this PID settings on the experimental system, the closed loop data are collected for the servo problem. A suitable transfer function model is identified using the subspace identification method. Based on this model, a PID controller is designed by the pole placement method. The performances of the two PID controllers are evaluated experimentally and compared.

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References

  1. Stoica, P., Cedervall, M., Eriksson, A.: Combined instrumental variable and subspace fitting approach to parameter estimation of noisy input-output systems. IEEE Trans. Signal Process. 43(10), 2386–2397 (1995)

    Article  Google Scholar 

  2. Van Overschee, P., De Moor, B.: Subspace Identification for Linear Systems: theory, Implementation, and Application. Kluwer Academic Publishers, Dordrecht (1996)

    Book  Google Scholar 

  3. Ljung, L.: System Identification: theory for the User, 2nd edn. Prentice-Hall, Englewood Cliffs (1987)

    MATH  Google Scholar 

  4. Qin, S.J.: An overview of subspace identification. Comput. Chem. Eng. 30, 1502–1513 (2006)

    Article  Google Scholar 

  5. Van Overschee, P., De Moor, B.: Closed loop subspace systems identification. In: Proceedings of 36th IEEE conference on decision and control, San Diego, pp 1848–1853. (1997)

  6. Jansson M.: A new subspace identification method for open and closed loop data. In: Proceedings of the 16th IFAC world congress, Prague (2005)

  7. Ljung, L., McKeley, T.: Subspace identification from closed loop data. Signal Process. 52(2), 209–215 (1996)

    Article  MATH  Google Scholar 

  8. Forssell, U., Ljung, L.: Closed loop identification revisited. Automatica 35(7), 1215–1241 (1999)

    Article  MathSciNet  MATH  Google Scholar 

  9. Katayama, T., Kawauchi, H., Picci, G.: Subspace identification of closed loop systems by orthogonal decomposition. Automatica 41, 863–872 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  10. Chiuso, A., Picci, G.: Consistency analysis of some closed loop subspace identification methods. Automatica 41, 377–391 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  11. Pouliquen, M., Gehan, O., Pigeon, E.: An indirect closed loop subspace identification method. Decion and control CDC 49th IEEE conference, 3, pp. 4417–4422. (2010)

  12. Verhaegen, M.: Application of a subspace model identification technique to identify LTI systems operating in closed loop. Automatica 29(4), 1027–1040 (1993)

    Article  MathSciNet  MATH  Google Scholar 

  13. Oku, H., Ushida, S.: Experiment on closed-loop subspace model identification of an unstable under actuated system. In: Proceedings of ICCAS-SICE 2009, Fukuoka, pp. 4902–4907. (2009)

  14. Miranda, S., Garcia, C.: Subspace closed loop identification using the integration of MOESP and N4SID methods. Adv. Control Chem. Process. 7, 476–481 (2009)

    Google Scholar 

  15. Borjas, S.D.M., Garcia, C.: Subspace identification for industrial processes. TEMA Tend. Mat. Apl. Comput. 12(3), 183–194 (2011)

    MathSciNet  MATH  Google Scholar 

  16. Soderstrom, T., Stoica, P.: System Identification. Prentice Hall, London (1989)

    Google Scholar 

  17. Andersson, L., Jonsson, U., Johansson, K.H.: A manual for system identification. In Laboratory Exercises in System Identification. KF Sigma i Lund AB. Department of Automatic Control, Lund Institute of Technology, Lund (1998)

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Correspondence to M. Chidambaram.

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Rao, C.S., Chidambaram, M. Experimental application of subspace model identification of an unstable system. Int J Adv Eng Sci Appl Math 7, 70–76 (2015). https://doi.org/10.1007/s12572-015-0127-0

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