Skip to main content
Log in

Stabilization of Programmed Motions of Constrained Mechanical Systems

  • CONTROL SYSTEMS FOR MOVING OBJECTS
  • Published:
Journal of Computer and Systems Sciences International Aims and scope

Abstract

The problem of the stabilization of programmed trajectories of mechanical systems, taking the constraints on the values of generalized coordinates, velocities, and accelerations into account, is considered. The control is built using the backstepping method in combination with the use of logarithmic Lyapunov barrier functions. The stabilizing feedbacks obtained in this study, in contrast to similar known results, do not lead to an unlimited increase in the values of the control variables when the state variables of the system approach the boundary values. As an example, the problem of constructing and stabilizing the trajectory of the spatial motion of an underwater vehicle is considered.

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.

Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.
Fig. 5.
Fig. 6.
Fig. 7.
Fig. 8.

Similar content being viewed by others

REFERENCES

  1. R. Olfati-Saber, “Flocking for multi-agent dynamic systems: Algorithms and theory,” IEEE Trans. Automat. Control 51 (3), 401–420 (2006).

    Article  MathSciNet  Google Scholar 

  2. H. Liu, G. Chen, and X. Tian, “Cooperative formation control for multiple surface vessels based on barrier Lyapunov function and self-structuring neural networks,” Ocean Engineering 216, 108163 (2020).

  3. P. D. Krut’ko, Inverse Problems of Controllable System Dynamics. Nonlinear Models (Nauka, Moscow, 1988) [in Russian].

    Google Scholar 

  4. A. Isidori, Nonlinear Control Systems (Springer, London, 1995).

    Book  Google Scholar 

  5. V. I. Krasnoshchechenko and A. P. Krishchenko, Nonlinear Systems: Geometric Methods of Analysis and Synthesis (MGTU im. N.E. Baumana, Moscow, 2005) [in Russian].

  6. M. Krstić, I. Kanellakopoulos, and P. V. Kokotović, Nonlinear and Adaptive Control Design (John Wiley and Sons, New York, 1995).

    Google Scholar 

  7. R. Ortega, A. Loria, P. J. Nicklasson, and H. Sira-Ramirez, Passivity-Based Control of Euler–Lagrange Systems: Mechanical, Electrical and Electromechanical Applications (Springer, London, 1998).

    Book  Google Scholar 

  8. K. B. Ngo, R. Mahony, and Z. P. Jiang, “Integrator backstepping using barrier functions for systems with multiple state constraints,” in Proc. 44th Conf. on Decision and Control, and the European Control Conf. (Seville, Spain, 2005), pp. 8306–8312.

  9. K. P. Tee, S. S. Ge, and E. H. Tay, “Barrier Lyapunov functions for the control of output-constrained nonlinear systems,” Automatica 45 (4), 918–927 (2009).

    Article  MathSciNet  Google Scholar 

  10. S. Boyd and L. Vandenberghe, Convex Optimization (Cambridge University Press, Cambridge, 2009).

    Google Scholar 

  11. B. Niu and J. Zhao, “Barrier Lyapunov functions for the output tracking control of constrained nonlinear switched systems,” Syst. Control Lett. 62 (10), 963–971 (2013).

    Article  MathSciNet  Google Scholar 

  12. K. Sachan and R. Padhi, “Barrier Lyapunov function based output-constrained control of nonlinear Euler–Lagrange systems,” in Proc. 15th Int. Conf. on Control, Automation, Robotics and Vision (ICARCV) (Singapore, 2018), pp. 686–691.

  13. A. E. Golubev, N. D. Botkin, and A. P. Krishchenko, “Backstepping control of aircraft take-off in windshear,” IFAC-PapersOnLine 52 (16), 712–717 (2019).

    Article  Google Scholar 

  14. T. Garg and S. B. Roy, “Barrier Lyapunov function based controller design for Euler–Lagrange systems with reduced control effort,” IFAC-PapersOnLine 53 (1), 459–464 (2020).

    Article  Google Scholar 

  15. X. Wang, J. Xu, M. Lv, L. Zhang, and Z. Zhao, “Barrier Lyapunov function-based fixed-time FTC for high-order nonlinear systems with predefined tracking accuracy,” Nonlinear Dyn. 110, 381–394 (2022).

    Article  Google Scholar 

  16. A. Golubev, A. Kovtanyuk, and R. Lampe, “Modeling of cerebral blood flow autoregulation using mathematical control theory,” Mathematics 10 (12) (2060).

  17. A. E. Golubev, “Construction of programmed motions of constrained mechanical systems using third-order polynomials,” J. Comput. Syst. Sci. Int. 60 (2), 303–314 (2021).

    Article  MathSciNet  Google Scholar 

  18. H. J. Sussmann and P. V. Kokotovic, “The peaking phenomenon and the global stabilization of nonlinear systems,” IEEE Trans. Autom. Control 36 (4), 424–440 (1991).

    Article  MathSciNet  Google Scholar 

  19. H. K. Khalil, Nonlinear Systems (Prentice Hall, Upper Saddle River, 2002).

    Google Scholar 

  20. T. I. Fossen, Guidance and Control of Ocean Vehicles (John Wiley and Sons, Chichester, 1994).

    Google Scholar 

  21. C. Silpa-Anan and A. Zelinsky, “Kambara: Past, present, and future,” in Proc. 2001 Australian Conf. on Robotics and Automation (Sydney, 2001), pp. 61–66.

  22. C. Silpa-Anan, Autonomous Underwater Robot: Vision and Control, Master Thesis (Australian National University, Canberra, 2001). https://doi.org/10.25911/5d626dd9b96ec

Download references

Funding

This work was supported by a state assignment, state registration no. 123021700055-6.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to A. E. Golubev.

Ethics declarations

The author declares that he has no conflicts of interest.

Additional information

Publisher’s Note.

Pleiades Publishing remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Golubev, A.E. Stabilization of Programmed Motions of Constrained Mechanical Systems. J. Comput. Syst. Sci. Int. 62, 695–709 (2023). https://doi.org/10.1134/S1064230723040056

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S1064230723040056

Navigation