Skip to main content
SpringerLink
Log in

Reconfiguration of Control Allocation Module Based on Reliability Estimated by Stochastic Models

  • Conference paper
  • First Online:
Advanced Solutions in Diagnostics and Fault Tolerant Control (DPS 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 635))

Included in the following conference series:

  • 1246 Accesses

Abstract

The paper presents the results of the regulation strategy based on the reconfiguration of the control allocation module steering redundant actuators. As the reconfiguration criterion the required level of system reliability was assumed at the end of the operating time, estimated by the means of stochastic differential equations. In this case, two tasks become the key. The first concerns the choice of the method of determining the pseudo inverse matrix taking into account the constraints on the control signal. The second concerns the prioritization of the actuators. i.e. the distribution of the increased demand for the control signal so that, this increase, in minimum way, decreases the reliability.

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

Access this chapter

Log in via an institution
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. Blanke, M., Kinnaert, M., Lunze, J., Staroswiecki, M.: Diagnosis and Fault-Tolerant Control. Springer, New York (2006). doi:10.1007/978-3-540-35653-0.

  2. Korbicz, J., Kościelny, J.M. (eds.): Modeling, Diagnostics and Process Control. Implementation in the DiaSter System. Springer, Berlin (2011). doi:10.1007/978-3-642-16653-2.

  3. Korbicz, J., Kościelny, J.M., Kowalczuk, Z., Cholewa, W. (eds.): Fault Diagnosis. Models, Artificial Intelligence, Applications. Springer, Berlin (2004). doi:10.1007/978-3-642-18615-8.

  4. Härkegård, O., Glad, S.T.: Resolving actuator redundancy - optimal control vs. control allocation. Automatica 41, 137–144 (2005). doi:10.1016/j.automatica.2004.09.007.

  5. Witczak, M., Pazera M.: Fault Tolerant-Control: Solutions and Challenges. PAR R. 20, Nr 1/2016, pp. 5–15. doi:10.14313/PAR-219/5.

  6. Noura, H., Theilliol, D., Ponsart, J., Chamseddine, A.: Fault-Tolerant Control Systems. Design and Practical Applications. Springer, Berlin (2009). doi:10.1007/978-1-84882-653-3.

  7. Gilbert, E.G., Kolmanovsky, I.: Fast reference governors for systems with state and control constraints and disturbance inputs. Int. J. Robust Nonlin. Control 9, 1117–1141 (1999)

    Article  MathSciNet  MATH  Google Scholar 

  8. Kopka, R., Tarczyński, W.: Influence of the Operation Conditions on the Supercapacitors Reliability Parameters. PAR, R. 19(3/2015), 49–54 (2015)

    Article  Google Scholar 

  9. Khelassi, A., Theilliol, D., Weber, P.: Reconfigurability analysis for reliable fault-tolerant Control design. Int. J. Appl. Math. Comput. Sci. 21(3), 431–439 (2011). doi:10.2478/v10006-011-0032-z

    Article  MathSciNet  MATH  Google Scholar 

  10. Weber, P., Boussaid, B., Khelassi, A., Theilliol, D., Aubrun, C.: Reconfigurable control design with integration of a reference governor and reliability indicators. Int. J. Appl. Math. Comput. Sci. 22(1), 139–148 (2012). doi:10.2478/v10006-012-0010-0

    Article  MathSciNet  MATH  Google Scholar 

  11. Bae, J.S., Kuo, W., Kvam, H.P.: Degradation models and implied life time distributions. Reliab. Eng. Syst. Saf. 92, 601–608 (2007)

    Article  Google Scholar 

  12. Park, C., Padgett, W.J.: Stochastic degradation models with several accelerating variables. IEEE Trans. Reliab. 55(2), 379–390 (2006)

    Article  Google Scholar 

  13. Pham, H.: Recent Advances in Reliability and Quality in Design. Springer, London (2008)

    Book  MATH  Google Scholar 

  14. Schofield, B.: On active set algorithms for solving bound-constrained least squares control allocation problems. In: American Control Conference, pp. 2597–2602 (2008). doi:10.1109/ACC.2008.4586883.

  15. Sobczyk, K.: Stochastic Differential Equations: With Applications to Physics and Engineering. Kluwer Academic Publishers B.V, Dordrecht (1991)

    Book  MATH  Google Scholar 

  16. Sun, J.Q.: Stochastic Dynamics and Control. Elsevier, Amsterdam (2006)

    Book  Google Scholar 

  17. Kopka, R., Tarczyński, W.: The comparison of two supercapacitors lifetime estimated on the basis of accelerated degradation tests by means of stochastic models. Comput. Appl. Electr. Eng. 14, 76–87 (2016). doi:10.21008/j.1508-4248.2016.0007

    Google Scholar 

  18. Escobar, A.L., Meeker, Q.W.: A review of accelerated test models. Stat. Sci. 21(4), 552–577 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  19. Meeker, Q.W., Escobar, A.L.: Statistical Methods for Reliability Data. Wiley, New York (1998)

    MATH  Google Scholar 

  20. Casavola, A., Garone, E.: Fault–tolerant adaptive control allocation schemes for overactuated systems. Int. J. Robust Nonlin. Control (2010), published online in Wiley InterScience www.interscience.wiley.com. doi:10.1002/rnc.1561

  21. Härkegård, O.: Quadratic programming control allocation toolbox (qcat). [Online]. http://www.mathworks.com/matlabcentral/fileexchange/

Download references

Author information

Authors and Affiliations

  1. Opole University of Technology, Opole, Poland

    Ryszard Kopka

Authors
  1. Ryszard Kopka
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ryszard Kopka .

Editor information

Editors and Affiliations

  1. Faculty of Mechatronics, Institute of Automatic Control and Robotics, Warsaw University of Technology, Warsaw, Poland

    Jan M. Kościelny

  2. Faculty of Mechatronics, Institute of Automatic Control and Robotics, Warsaw University of Technology, Warsaw, Poland

    Michał Syfert

  3. Faculty of Mechatronics, Institute of Automatic Control and Robotics, Warsaw University of Technology, Warsaw, Poland

    Anna Sztyber

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Cite this paper

Kopka, R. (2018). Reconfiguration of Control Allocation Module Based on Reliability Estimated by Stochastic Models. In: Kościelny, J., Syfert, M., Sztyber, A. (eds) Advanced Solutions in Diagnostics and Fault Tolerant Control. DPS 2017. Advances in Intelligent Systems and Computing, vol 635. Springer, Cham. https://doi.org/10.1007/978-3-319-64474-5_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-64474-5_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-64473-8

  • Online ISBN: 978-3-319-64474-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation