Skip to main content

A Predictive Fault-Tolerant Tracking Control for Constrained Dynamic Systems

  • Conference paper
  • First Online:
Intelligent and Safe Computer Systems in Control and Diagnostics (DPS 2022)

Abstract

The paper proposes a novel fault-tolerant tracking control method based on robust observer for constrained dynamic systems. Accordingly, it is considered that the system may be occupied by the actuator and sensor faults as well as the external disturbances, simultaneously. Moreover, it is assumed that there is already employed nominal predictive controller for the fault-free and disturbance-free reference system. Thus, the additional fault-tolerant tracking controller based on robust observer is proposed, while it is not necessary to change the nominal controller. Additionally, the stability of the described observer and controller is guaranteed by using \(H_\infty \) approach. Finally, the laboratory Two-Tank system is used to confirm the correctness and performance of the proposed scheme. Additionally, tanks in the proposed system are physically connected together, while each tank has its own water pump.

The work was supported by the National Science Centre, Poland under Grant: UMO-2017/27/B/ST7/00620.

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 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
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. Aouaouda, S., Chadli, M., Righi, I.: Active FTC approach design for TS fuzzy systems under actuator saturation. In: 2019 6th International Conference on Control, Decision and Information Technologies (CoDIT), pp. 483–488. IEEE (2019)

    Google Scholar 

  2. Blanke, M., Schörder, J., Kinnaert, M., Lunze, J., Staroswiecki, M.: Diagnosis and Fault-Tolerant Control. Springer, Heidelberg (2006). https://doi.org/10.1007/978-3-540-35653-0

    Book  MATH  Google Scholar 

  3. Hamdi, H., Rodrigues, M., Rabaoui, B., Benhadj Braiek, N.: A fault estimation and fault-tolerant control based sliding mode observer for LPV descriptor systems with time delay. Int. J. Appl. Math. Comput. Sci. 31(2) (2021)

    Google Scholar 

  4. Kommuri, S.K., Defoort, M., Karimi, H.R., Veluvolu, K.C.: A robust observer-based sensor fault-tolerant control for PMSM in electric vehicles. IEEE Trans. Industr. Electron. 63(12), 7671–7681 (2016)

    Article  Google Scholar 

  5. Kouvaritakis, B., Cannon, M.: Model Predictive Control, vol. 38. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-24853-0

    Book  MATH  Google Scholar 

  6. Li, S., Wang, H., Aitouche, A., Tian, Y., Christov, N.: Active fault tolerance control of a wind turbine system using an unknown input observer with an actuator fault. Int. J. Appl. Math. Comput. Sci. 28(1) (2018)

    Google Scholar 

  7. Majdzik, P.: Feasible schedule under faults in the assembly system. In: 2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV), pp. 1049–1054. IEEE (2020)

    Google Scholar 

  8. Pazera, M., Witczak, M.: Towards robust simultaneous actuator and sensor fault estimation for a class of nonlinear systems: design and comparison. IEEE Access 7, 97143–97158 (2019)

    Article  Google Scholar 

  9. Pham, H.T., Bourgeot, J.M., Benbouzid, M.: Fault-tolerant finite control set-model predictive control for marine current turbine applications. IET Renew. Power Gener. 12(4), 415–421 (2018)

    Article  Google Scholar 

  10. Puig, V.: Fault diagnosis and fault tolerant control using set-membership approaches: application to real case studies. Int. J. Appl. Math. Comput. Sci. 20(4), 619–635 (2010)

    Article  MathSciNet  Google Scholar 

  11. Sun, K., Sui, S., Tong, S.: Optimal adaptive fuzzy FTC design for strict-feedback nonlinear uncertain systems with actuator faults. Fuzzy Sets Syst. 316, 20–34 (2017)

    Article  MathSciNet  Google Scholar 

  12. Tabbache, B., Rizoug, N., Benbouzid, M.E.H., Kheloui, A.: A control reconfiguration strategy for post-sensor FTC in induction motor-based EVS. IEEE Trans. Veh. Technol. 62(3), 965–971 (2012)

    Article  Google Scholar 

  13. Tao, T., Zhao, W., Du, Y., Cheng, Y., Zhu, J.: Simplified fault-tolerant model predictive control for a five-phase permanent-magnet motor with reduced computation burden. IEEE Trans. Power Electron. 35(4), 3850–3858 (2019)

    Article  Google Scholar 

  14. Wang, L., Sun, L., Luo, W.: Robust constrained iterative learning predictive fault-tolerant control of uncertain batch processes. Sci. China Inf. Sci. 62(11), 1–3 (2019). https://doi.org/10.1007/s11432-018-9541-1

    Article  Google Scholar 

  15. Witczak, M.: Fault Diagnosis and Fault-Tolerant Control Strategies for Non-Linear Systems. LNEE, vol. 266. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-03014-2

    Book  MATH  Google Scholar 

  16. Witczak, M., Buciakowski, M., Aubrun, C.: Predictive actuator fault-tolerant control under ellipsoidal bounding. Int. J. Adapt. Control Signal Process. 30(2), 375–392 (2016)

    Article  MathSciNet  Google Scholar 

  17. Xiao, L., Zhang, L., Gao, F., Qian, J.: Robust fault-tolerant synergetic control for dual three-phase PMSM drives considering speed sensor fault. IEEE Access 8, 78912–78922 (2020)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Norbert Kukurowski .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Kukurowski, N., Mrugalski, M., Witczak, M. (2023). A Predictive Fault-Tolerant Tracking Control for Constrained Dynamic Systems. In: Kowalczuk, Z. (eds) Intelligent and Safe Computer Systems in Control and Diagnostics. DPS 2022. Lecture Notes in Networks and Systems, vol 545. Springer, Cham. https://doi.org/10.1007/978-3-031-16159-9_33

Download citation

Publish with us

Policies and ethics