Skip to main content
Log in

Adaptive sliding-mode controller based on the “Super-Twist” state observer for control of the Stewart platform

  • Nonlinear Systems
  • Published:
Automation and Remote Control Aims and scope Submit manuscript

Abstract

To provide a highly efficient control of nonlinear systems in the presence of nonmodeled dynamics and external perturbations, a new control law with feedback based on the sliding modes with an observer of the “Super-Twist” kind was proposed. For acceptable use of the continuous observer signal in the controller, presented were adaptive laws for adjustment of the control system parameters. Using the methods of Lyapunov function, system stability (convergence to a zone) was proved. This technique was proposed as an example of control and stabilization of the position of a parallel manipulator (Gough–Stewart platform). The presented mechanism with six degrees of freedom is used to control the secondary mirror of the “Large Millimeter Telescope Alfonso Serrano” situated in the state of Puebla, Mexico.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Jan, R.M., Tseng, C.S., and Liu, R.J., Robust PID Control Design for Permanent Magnet Synchronous Motor: A Genetic Approach, Electr. Power Syst. Res., 2007, no. 7, pp. 1161–1168.

    Google Scholar 

  2. Lee, S.H., Song, J.B., Choi, W.Ch., et al., Position Control of a Stewart Platform Using Inverse Dynamics Control with Approximate Dynamic, Mechatronics, 2003, no. 13, pp. 605–619.

    Article  Google Scholar 

  3. Elmas, C., Ustun, O., and Sayan, H.H., A Neuro-Fuzzy Controller for Speed Control of a Permanent Magnet Synchronous Motor Drive, Exp. Syst. Appl., 2008, no. 1, pp. 657–664.

    Article  Google Scholar 

  4. Dongsu, W. and Hongbin, G., Adaptive Sliding Control of Six-dof Flight Simulator Motion Platform, Chinese J. Aeronaut., 2007, pp. 425–433.

    Google Scholar 

  5. Kumar, P.R. and Bandyopadhyay, B., Stabilization of Stewart Platform Using Higher Order Sliding Mode Control, in 7th Int. Conf. Electrical Computer Engineering (ICECE), 2012, no. 13, pp. 945–948.

    Google Scholar 

  6. Shtessel, Y., Edwards, Ch., Fridman, L., et al., Sliding Mode Control and Observation, Exeter: Birkhauser, 2014.

    Book  Google Scholar 

  7. Schloerb, F.P., Stepp, L.M., and Gilmozzi R., The Large Millimeter Telescope, in Ground-Based and Airborne Telescopes, in Proc. SPIE, 2008, vol. 7012, pp. 1117–1129.

    Google Scholar 

  8. Merlet, J.P., Parallel Robots, France: Springer, 2006, 2nd ed.

    MATH  Google Scholar 

  9. Su, X.S., et al., Singularity Analysis of Fine-Tuning Stewart Platform for Large Radio Telescope Using Genetic Algorithm, Mechatronics, 2003, vol. 5, pp. 413–425.

    Article  Google Scholar 

  10. Leroy, N., et al., Dynamic Modeling of a Parallel Robot. Application to a Surgical Simulator, in IEEE Int. Conf. on Robotics and Automation, 198, Flight Simulation, 1975, pp. 4330–4335.

    Google Scholar 

  11. Koevermans, W.P., et al., Design and Performance of the Four D.O.F. Motion System of the NLR Research Flight Simulator, in AGARD Conf. Proc., 1975, no. 198, pp. 17(1)–17(11).

    Google Scholar 

  12. Dubowsky, A., et al., The Design and Implementation of a Laboratory Test Bed for Space Robotics, in ASME Design Automat. Conf., 1994, pp. 99–108.

    Google Scholar 

  13. Shang, C., Guoliang, T., and Meng, D., Adaptive Robust Trajectory Tracking Control of a Parallel Manipulator Driven by Pneumatic Cylinders, Adv. Mechan. Eng., 2016, vol. 8, no. 4, pp. 1–15.

    Google Scholar 

  14. Leonov, G.A., Zegzhda, S.A., Kuznetsov, N.V., et al., Motion of Solid Body Controlled by Six Variablelength rods, Dokl. Ross. Akad. Nauk, 2014, vol. 455, pp. 153–157.

    Google Scholar 

  15. Leonov, G.A., Zegzhda, S.A., Zuev, S.M., et al., Dynamics of the Stewart platform and Control of Its Motion, Dokl. Ross. Akad. Nauk, 2014, vol. 458, no. 1, pp. 36–41.

    MathSciNet  Google Scholar 

  16. Alyushin, Y.A. and Elenev, S.A., Mathematical Model of Stewart Platform Motion, J. Mach. Manuf. Reliab., 2010, vol. 39, no. 4, pp. 305–312.

    Article  Google Scholar 

  17. Kaganov, Yu.T. and Karpenko, A.P., Mathematical Modeling of Kinematics and Dynamics of the Manipulating Robot of the “Trunk” Type, Nauka Obrazovan., 2009, no. 77, pp. 1–14.

    Google Scholar 

  18. Keshtkar, S. and Poznyak, A., Tethered Space Orientation via Adaptive Sliding Mode, Int. J. Robust. Nonlin. Control, 2016, vol. 26, no. 8, pp. 1632–1646.

    Article  MathSciNet  MATH  Google Scholar 

  19. Utkin, V.I., Skol’zyashchie rezhimy v zadachakh optimizatsii i upravleniya, Moscow: Nauka, 1981. Translated into English under the title Sliding Modes in Control Optimization, Heidelberg: Springer, 1992.

    Google Scholar 

  20. Harib, K. and Srinivasan, K., Kinematic and Dynamic Analysis of Stewart Platform-Based Machine Tool Structures, Robotica, 2003, no. 21, pp. 541–554.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to S. Keshtkar.

Additional information

Original Russian Text © S. Keshtkar, A.S. Poznyak, E. Hernandez, A. Oropeza, 2017, published in Avtomatika i Telemekhanika, 2017, No. 7, pp. 57–75.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Keshtkar, S., Poznyak, A.S., Hernandez, E. et al. Adaptive sliding-mode controller based on the “Super-Twist” state observer for control of the Stewart platform. Autom Remote Control 78, 1218–1233 (2017). https://doi.org/10.1134/S0005117917070049

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S0005117917070049

Keywords

Navigation