Skip to main content

The Actuator and Sensor Fault Estimation Using Robust Observer Based Reconstruction for Mini Motion Package Electro-Hydraulic Actuator

  • Conference paper
  • First Online:
Intelligent Computing Methodologies (ICIC 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11645))

Included in the following conference series:

Abstract

In the period of industrialization and modernization of technology 4.0. Especially applying information technology and its applications in industry in general and for industrial equipment using the hydraulic systems, in particular, are very interested. Therefore, applying the control compensation algorithm to these devices for ensuring safety and accuracy is essential. In this paper, we study the estimation process of the actuator and sensor fault. The development process consists of the following steps. First, the mini motion package electro-hydraulic actuator is formulated with actuator and sensor faults. Second, unknown input observer (UIO) is constructed to estimate the actuator and sensor faults based on Lyapunov’s stability condition and a linear matrix inequality (LMI) optimization algorithm in order to obtain the control signal error asymptotically stable. Finally, numerical simulations were run to show the effectiveness of the fault estimator.

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 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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. Ahn, K.K., Nam, D.N.C., Jin, M.: Adaptive back-stepping control of an electrohydraulic actuator. IEEE/ASME Trans. Mechatron. 19, 987–995 (2014)

    Article  Google Scholar 

  2. Tan, V.N., Cheolkeun, H.: Sensor fault-tolerant control design for mini motion package electro-hydraulic actuator MDPI. Processes 7, 89 (2019)

    Article  Google Scholar 

  3. Tri, M.N., Nam, C.N.D., Park, G.H., Ahn, K.K.: Trajectory control of an electro-hydraulic actuator using an iterative backstepping control scheme. Mechatronics 29, 96–102 (2014)

    Article  Google Scholar 

  4. Liu, X., Gao, Z.: Unknown input observers for fault diagnosis in Lipschitz nonlinear systems. In: Proceedings of 2015 IEEE International Conference on Mechatronics and Automation, Beijing, China (2015)

    Google Scholar 

  5. Gao, Z., Liu, X., Chen, Q.Z.M.: Unknown input observer-based robust fault estimation for systems corrupted by partially decoupled disturbances. IEEE Trans. Ind. Electron. 63(4), 2537–2547 (2016)

    Google Scholar 

  6. Noura, H., Theilliol, D., Ponsart, J.C., Chamseddine, A.: Fault-tolerant control systems design and practical applications. In: Michael, J.G., Michael, A.J. (eds.) Springer, Heidelberg (2009). https://doi.org/10.1007/978-1-84882-653-3. ISBN 978-1-84882-652-6

    Book  Google Scholar 

  7. Xing, G.Y., Christopher, E.: Robust sliding mode observer-based actuator fault detection and isolation for a class of nonlinear systems. In: Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference 2005 Seville, Spain (2005)

    Google Scholar 

  8. Jian, Z., Akshya, K.S., Sing, K.N.: Reconstruction of actuator fault for a class of nonlinear systems using sliding mode observer. In: 2011 American Control Conference on O’Farrell Street, San Francisco, CA, USA (2011)

    Google Scholar 

  9. Ngoc, P.N., Sung, K.H.: Sliding mode thau observer for actuator fault diagnosis of quadcopter UAVs. Appl. Sci. 8, 1893 (2018). https://doi.org/10.3390/app8101893

    Article  Google Scholar 

  10. Zhang, Q.: Adaptive kalman filter for actuator fault diagnosis. Automatica 93, 333–342 (2018)

    Article  MathSciNet  Google Scholar 

  11. Xilin, Y., Michael, W., et al.: A UKF-based estimation strategy for actuator fault detection of UASs. In: 2013 International Conference on Unmanned Aircraft Systems (ICUAS), May 2013

    Google Scholar 

  12. Bahareh, P., Nader, M., Khashayar, K.: Sensor fault detection, isolation and identification using multiple model-based hybrid Kalman filter for gas turbine engines. IEEE Trans. Control Syst. Technol. 24, 1184–1200 (2016)

    Article  Google Scholar 

  13. Liu, X., Gao, Z., Zhang, A.: Robust fault tolerant control for discrete-time dynamic systems with applications to aero engineering systems. IEEE Access. 6, 18832–18847 (2018)

    Article  Google Scholar 

  14. Jia, Q., Li, H., Zhang, Y., Chen, X.: Robust observer-based sensor fault reconstruction for discrete-time systems via a descriptor system approach. Int. J. Control Autom. Syst. 13, 274 (2015)

    Article  Google Scholar 

  15. Boyd, S., Ghaoui, L.E., Feron, E., Balakrishnan, V.: Linear matrix inequalities in systems and control theory, SIAM, Philadelphia, PA, USA (1994). ISBN 0-89871-334-X

    Google Scholar 

Download references

Acknowledgments

This work was supported by Korea Hydro & Nuclear Power company through the project “Nuclear Innovation Center for Haeoleum Alliance”.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Cheolkuen Ha .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Van Nguyen, T., Ha, C. (2019). The Actuator and Sensor Fault Estimation Using Robust Observer Based Reconstruction for Mini Motion Package Electro-Hydraulic Actuator. In: Huang, DS., Huang, ZK., Hussain, A. (eds) Intelligent Computing Methodologies. ICIC 2019. Lecture Notes in Computer Science(), vol 11645. Springer, Cham. https://doi.org/10.1007/978-3-030-26766-7_23

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-26766-7_23

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-26765-0

  • Online ISBN: 978-3-030-26766-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics