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Non-smooth Observer for Mechanical Systems Based on Sandwich Model with Backlash

  • Zupeng Zhou
  • Yonghong Tan
  • Ruili Dong
  • Hong He
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7506)

Abstract

In this paper, a novel non-smooth observer is proposed to handle the state estimation of mechanical transmission systems described by sandwich model with backlash. Based on the characteristic of the system, a non-smooth state-space function is constructed in terms of the separation principle. Then, a non-smooth observer is developed based on the obtained non-smooth state-space model. The observer can switch among the different operating zones automatically in terms of the variation of operation conditions. Finally, the simulation results are presented.

Keywords

Non-smooth observer backlash sandwich model state estimation mechanical systems 

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References

  1. 1.
    Xie, Y., Tan, Y., Dong, R.: Identification of Sandwich Systems with Backlash With Hybrid Inputs. In: 8th IEEE International Conference on Control and Automation, pp. 1999–2004. IEEE Press, New York (2010)Google Scholar
  2. 2.
    Dong, R., Tan, Q., Tan, Y.: Recursive identification algorithm for dynamic systems with output backlash and its convergence. Int. J. of Applied Mathematics and Computer Science 19(4), 631–638 (2009)CrossRefGoogle Scholar
  3. 3.
    Dong, R., Tan, Y., Chen, H.: Recursive identification for dynamic systems with backlash. Asian Journal of Control 12(1), 26–38 (2010)MathSciNetGoogle Scholar
  4. 4.
    Caccavale, F., Cilibrizzi, P., Pierri, F., Villani, L.: Actuator fault diagnosis for robot manipulators with uncertain model. Control Engineering Practice 17, 146–157 (2010)CrossRefGoogle Scholar
  5. 5.
    Caccavale, F., Pierri, F., Villani, L.: Adaptive Observer for fault diagnosis in nonlinear discrete-time systems. ASME Journal of Dynamic System, Measurement, and Control 130, 1–9 (2008)CrossRefGoogle Scholar
  6. 6.
    Wu, H.: Adaptive Robust State Observers for a Class of Uncertain Nonlinear Dynamical Systems With Delayed State Perturbations. IEEE Transactions on Automatic Control 54(6), 1407–1412 (2002)Google Scholar
  7. 7.
    Nouailletas, R., Koenig, D., Mendes, E.: LMI design of a switched observer with model uncertainty: Application to a hysteresis mechanical system. In: The 46th IEEE Conference on Decision and Control, pp. 6298–6303. IEEE Press, New York (2007)Google Scholar
  8. 8.
    Ibrir, S.: Simultaneous state and dead-zone parameter estimation using high-gain observers. In: 2009 IEEE International Conference on Systems, Man, and Cybernetics, pp. 311–316. IEEE Press, New York (2009)CrossRefGoogle Scholar
  9. 9.
    Shaik, F.A., Purwar, S.: A nonlinear state observer design for 2 – DOF twin rotor system using neural networks. In: 2009 International Conference on Advances in Computing, Control, and Telecnmmunication Technologies, pp. 15–19. IEEE Press, New York (2009)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Zupeng Zhou
    • 1
  • Yonghong Tan
    • 2
  • Ruili Dong
    • 2
  • Hong He
    • 2
  1. 1.School of Electronic EngineeringXidian UniversityXi’anChina
  2. 2.College of Information, Mechanical and Electrical EngineeringShanghai Normal UniversityShanghaiChina

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