Skip to main content

Fractional Order Sliding Mode PID Controller/Observer for Continuous Nonlinear Switched Systems with PSO Parameter Tuning

  • Conference paper
  • First Online:
The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018) (AMLTA 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 723))

Abstract

In this article a fractional order sliding mode PID controller and observer for the stabilization of continuous nonlinear switched systems is proposed. The design of the controller and observer is done following the separation principle, this means that the observer and controller are designed in a separate fashion, so a hybrid controller is implemented by designing the sliding mode controller part using an integral sliding mode surface along with a \(PI^{\lambda }D^{\mu }\) controller part which is the fractional order PID controller that is implemented to stabilizes the system. For the observer part, an integral sliding manifold is implemented, so the error between the measured and estimated variable is reduced to zero when time approaches to infinity. The fractional order PID part is tuned by particle swarm optimization algorithm to derive the \(\lambda \) and \(\mu \) parameters along with the gain matrices. Finally, the stability of the closed loop system is assured in synchronous switching, this means that the mode in the controller and the system is the same at every switching time, the average dwell time is implemented for this purpose.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 349.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 449.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Azar, A.T., Serrano, F.E.: Adaptive sliding mode control of the furuta pendulum. Advances and Applications in Sliding Mode Control systems, vol. 576, pp. 1–42. Springer International Publishing, Cham (2015)

    Google Scholar 

  2. Azar, A.T., Vaidyanathan, S.: Computational Intelligence Applications in Modelling and Control. Studies in Computational Intelligence, vol. 575. Springer, Berlin, Germany (2015)

    Google Scholar 

  3. Azar, A.T., Zhu, Q.: Advances and Applications in Sliding Mode Control systems. Studies in Computational Intelligence, vol. 576. Springer, Cham (2015)

    MATH  Google Scholar 

  4. Gorp, J.V., Defoort, M., Veluvolu, K.C., Djemai, M.: Hybrid sliding mode observer for switched linear systems with unknown inputs. J. Franklin Inst. 351(7), 3987–4008 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  5. He, Z., Wang, X., Gao, Z., Bai, J.: Sliding mode control based on observer for a class of state-delayed switched systems with uncertain perturbation. Math. Probl. Eng. 2013, 1–9 (2013). Article ID 614878

    MathSciNet  Google Scholar 

  6. Lin, J., Gao, Z.: Observers design for switched discrete-time singular time-delay systems with unknown inputs. Nonlinear Anal. Hybrid Syst. 18(Supplement C), 85–99 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  7. Liu, Y., Niu, Y., Zou, Y.: Non-fragile observer-based sliding mode control for a class of uncertain switched systems. J. Franklin Inst. 351(2), 952–963 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  8. Meghni, B., Dib, D., Azar, A.T.: A second-order sliding mode and fuzzy logic control to optimal energy management in wind turbine with battery storage. Neural Comput. Appl. 28(6), 1417–1434 (2017)

    Article  Google Scholar 

  9. Mekki, H., Boukhetala, D., Azar, A.T.: Sliding modes for fault tolerant control. In: Azar, A.T., Zhu, Q. (eds.) Advances and Applications in Sliding Mode Control systems, pp. 407–433. Springer International Publishing, Cham (2015)

    Google Scholar 

  10. Pashaei, S., Badamchizadeh, M.: A new fractional-order sliding mode controller via a nonlinear disturbance observer for a class of dynamical systems with mismatched disturbances. ISA Trans. 63(Supplement C), 39–48 (2016)

    Article  Google Scholar 

  11. Rahmani, M., Ghanbari, A., Ettefagh, M.M.: Robust adaptive control of a bio-inspired robot manipulator using bat algorithm. Expert Syst. Appl. 56(Supplement C), 164–176 (2016)

    Article  Google Scholar 

  12. Serrano, F., Flores, M.: C++ library for fuzzy type-2 controller design with particle swarm optimization tuning. In: IEEE CONCAPAN 2015, Tegucigalpa, Honduras (2015)

    Google Scholar 

  13. Yang, J., Chen, Y., Zhu, F., Yu, K., Bu, X.: Synchronous switching observer for nonlinear switched systems with minimum dwell time constraint. J. Franklin Inst. 352(11), 4665–4681 (2015)

    Article  MathSciNet  Google Scholar 

  14. Zhong, F., Li, H., Zhong, S.: State estimation based on fractional order sliding mode observer method for a class of uncertain fractional-order nonlinear systems. Signal Process. 127(Supplement C), 168–184 (2016)

    Article  Google Scholar 

  15. Zhu, Q., Azar, A.T.: Complex System Modelling and Control Through Intelligent Soft Computations. Studies in Fuzziness and Soft Computing, vol. 319. Springer, Berlin, Germany (2015)

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ahmad Taher Azar .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Azar, A.T., Serrano, F.E. (2018). Fractional Order Sliding Mode PID Controller/Observer for Continuous Nonlinear Switched Systems with PSO Parameter Tuning. In: Hassanien, A., Tolba, M., Elhoseny, M., Mostafa, M. (eds) The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018). AMLTA 2018. Advances in Intelligent Systems and Computing, vol 723. Springer, Cham. https://doi.org/10.1007/978-3-319-74690-6_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-74690-6_2

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-74689-0

  • Online ISBN: 978-3-319-74690-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics