Skip to main content
Log in

Robust Integral Sliding Mode Control Design for Stability Enhancement of Under-actuated Quadcopter

  • Regular Papers
  • Control Theory and Applications
  • Published:
International Journal of Control, Automation and Systems Aims and scope Submit manuscript

Abstract

In this paper, a robust backstepping integral sliding mode control (RBISMC) technique is designed for the flight control of a quadcopter, which is an under-actuated nonlinear system. First, the mathematical model of this highly coupled and under-actuated system is described in the presence of dissipative drag forces. Second, a robust control algorithm is designed for the derived model to accurately track the desired outputs while ensuring the stability of attitude, altitude and position of the quadcopter. A step by step mathematical analysis, based on the Lyapunov stability theory, is performed that endorses the stability of both the fully-actuated and under-actuated subsystems of the aforementioned model. The comparison of proposed RBISMC control algorithm, with fraction order integral sliding mode control (FOISMC), affirms the enhanced performance in terms of faster states convergence, improved chattering free tracking and more robustness against uncertainties in the system.

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.

Institutional subscriptions

Similar content being viewed by others

References

  1. Z. Ma, H. Li, Y. Gu, Z. Li, and Q. Li, “Flight and hover control system design for a mini-quadrotor based on multi-sensors,” International Journal of Control, Automation and Systems, vol. 17, no. 2, pp. 486–499, February 2019.

    Article  Google Scholar 

  2. Y. Dfaz-Mendez, M. S. de Sousa, G. Gomes, S. Cunha, and A. Ramos, “Analytical design and stability analysis of the universal integral regulator applied in flight control,” International Journal of Control, Automation and Systems, vol. 17, no. 2, pp. 391–404, February 2019.

    Article  Google Scholar 

  3. M. Wasim, M. Uriah, and J. Iqbal, “Gain-scheduled proportional integral derivative control of taxi model of unmanned aerial vehicles,” Revue Roumaine des Sciences Techniques-Serie Electrotechnique et Energetique, vol. 64, no. 1, pp. 75–80, January 2019.

    Google Scholar 

  4. I. D. Cowling, O. A. Yakimenko, J. F. Whidborne, and A. K. Cooke, “A prototype of an autonomous controller for a quadrotor UAV,” Proc. of European Control Conference (ECC), IEEE, pp. 4001–4008, 2007.

    Google Scholar 

  5. S. A. Ajwad, J. Iqbal, R. U. Islam, A. Alsheikhy, A. Alme-shal, and A. Mehmood, “Optimal and robust control of multi DOF robotic manipulator: Design and hardware realization,” Cybernetics and Systems, pp. 1–17, January 2018.

    Google Scholar 

  6. S. Bouabdallah and R. Y. Siegwart, “Full control of a quadrotor,” Proc. of International Conference on Intelligent Robots and Systems, IROS 2007, San Diego, CA, IEEE, pp. 153–158, Oct. 29-Nov. 2, 2007.

    Google Scholar 

  7. X. Shi, Y. Cheng, C. Yin, S. Dadras, and X. Huang, “Design of fractional-order backstepping sliding mode control for quadrotor uav,” Asian Journal of Control, vol. 21, no. 1, pp. 156–171, January 2019.

    Article  MathSciNet  Google Scholar 

  8. W. Qi, G. Zong, and H. Karimi, “Sliding mode control for nonlinear stochastic singular semi-markov jump systems,” IEEE Transactions on Automatic Control, vol. 65, no. 1, pp. 361–368, January 2020.

    Article  MathSciNet  Google Scholar 

  9. W. Qi, G. Zong, and H. R. Karim, “Observer-based adaptive smc for nonlinear uncertain singular semi-markov jump systems with applications to dc motor,” IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 65, no. 9, pp. 2951–2960, February 2018.

    Article  MathSciNet  Google Scholar 

  10. F. Mufioz, E. S. Espinoza, I. Gonzalez-Herndndez, S. Salazar, and R. Lozano, “Robust trajectory tracking for unmanned aircraft systems using a nonsingular terminal modified super-twisting sliding mode controller,” Journal of Intelligent & Robotic Systems, vol. 93, no. 1–2, pp. 55–72, February 2019.

    Google Scholar 

  11. S.-L. Shi, J.-X. Li, and Y.-M. Fang, “Fractional-disturbance-observer-based sliding mode control for fractional order system with matched and mismatched disturbances,” International Journal of Control, Automation and Systems, vol. 17, no. 5, pp. 1184–1190, May 2019.

    Article  Google Scholar 

  12. D. Shi, Z. Wu, and W. Chou, “Super-twisting extended state observer and sliding mode controller for quadrotor uav attitude system in presence of wind gust and actuator faults,” Electronics, vol. 7, no. 8, p. 128, August 2018.

    Article  Google Scholar 

  13. L. Luque-Vega, B. Castillo-Toledo, and A. G. Loukianov, “Robust block second order sliding mode control for a quadrotor,” Journal of the Franklin Institute, vol. 349, no. 2, pp. 719–739, March 2012.

    Article  MathSciNet  Google Scholar 

  14. H. Sun, L. Hou, G. Zong, and X. Yu, “Fixed-time attitude tracking control for spacecraft with input quantization,” IEEE Transactions on Aerospace and Electronic Systems, vol. 55, no. 1, pp. 124–134, June 2018.

    Article  Google Scholar 

  15. S. Man, A. Mehmood, M. T. Razzaq, and J. Iqbal, “Advanced sliding mode control techniques for inverted pendulum: Modelling and simulation,” Engineering Science and Technology, An International Journal, vol. 21, no. 4, pp. 753–759, August 2018.

    Article  Google Scholar 

  16. K. Nonaka and H. Sugizaki, “Integral sliding mode altitude control for a small model helicopter with ground effect compensation,” Proceedings of the American Control Conference, IEEE, pp. 202–207, 2011.

    Google Scholar 

  17. M. O. Efe, “Integral sliding mode control of a quadrotor with fractional order reaching dynamics,” Transactions of the Institute of Measurement and Control, vol. 33, no. 8, pp. 985–1003, December 2011.

    Article  Google Scholar 

  18. B. Samir, “Design and control of quadrotors with application to autonomous flying,” Ecole Polytechnique Federale de Lausanne, 2007.

    Google Scholar 

  19. H.-R Ren and X. Wang, “Experimental backstepping adaptive sliding mode control of hydraulic position servo system,” Proc. of International Conference on Advanced Mechatronic Systems (ICAMechS), IEEE, pp. 349–354, December 2017.

    Google Scholar 

  20. E. Suiçmez, “Trajectory tracking of a quadrotor unmanned aerial vehicle (uav) via attitude and position control,” Educational & Industrial Television, July 2014.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jamshed Iqbal.

Additional information

Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Recommended by Associate Editor Guangdeng Zong under the direction of Editor Hamid Reza Karimi.

Safeer Ullah received his B.S. degree in Electronics Engineering from International Islamic University, Islamabad in 2012 and an M.S. Electrical Engineering from COMSATS University, Islamabad in 2016. He is currently pursuing a Ph.D. degree in COMSATS University, Islamabad. His research interests are in analysis, observation and control of under-actuated nonlinear systems using advanced nonlinear control approaches.

Adeel Mehmood holds a Ph.D. degree in Nonlinear Control from the Technical University of Belfort-Montbeliard, France. He completed the M.S. in robotics and embedded systems from the University of Versailles Saint-Quentin en Yvelines, France, in 2008, and B.S. in Mechatron-ics engineering from the National University of Science and Technology, Pakistan, in 2006. He also worked as a Post-doctoral Researcher with the University of Haute-Alsace, France. He is currently working as an assistant professor at COMSATS University Islamabad, Pakistan. His research interests include robotics, robust and nonlinear control of servo systems.

Qudrat Khan received his B.Sc. degree in mathematics from the University of Peshawar in 2003, an M.Sc. and M.Phil, degrees in mathematics from Quaid-i-Azam University, Islamabad, in 2006 and 2008, respectively, and a Ph.D. degree in nonlinear control systems from Mohammad Ali Jinnah University, Islamabad, in 2012. He was a Post-doctoral Fellow at International Islamic University, Malaysia, for one year. He is currently an Assistant Professor with the Center for Advanced Studies in Telecommunications, COMSATS University, Islamabad. His research interests include robust nonlinear control, observers/estimators design, and fault diagnosis of dynamic systems via sliding mode and its variants.

Sakhi Rehman received his B.Sc. Electrical Engineering degree from the University of Engineering & Technology, Peshawar in 2010, and an M.S. degree in Electrical Engineering from CECOS University of IT & ES, Peshawar, in 2015. He is currently serving as a Lecturer at University of Science & Technology, Bannu, KP, Pakistan. His research interests include linear and nonlinear control system design.

Jamshed Iqbal holds Ph.D. in Robotics from Italian Institute of Technology (IIT) and three Master degrees in various fields of Engineering from Finland, Sweden and Pakistan. He is currently working as a Research Associate Professor in University of Jeddah, KSA. With more than 20 years of multi-disciplinary experience in industry & academia, his research interests include robot analysis and design. He has more than 60 journal papers on his credit with H-index of 26. He is a senior member of IEEE USA.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ullah, S., Mehmood, A., Khan, Q. et al. Robust Integral Sliding Mode Control Design for Stability Enhancement of Under-actuated Quadcopter. Int. J. Control Autom. Syst. 18, 1671–1678 (2020). https://doi.org/10.1007/s12555-019-0302-3

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12555-019-0302-3

Keywords

Navigation