Skip to main content
SpringerLink
Log in
Book cover

Adaptive and Intelligent Control of Microbial Fuel Cells pp 109–121Cite as

Model Reference Adaptive Control of Microbial Fuel Cells

  • Chapter
  • First Online:

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 161))

Abstract

In this Chapter, two kinds of MRAC techniques of MFC are presented. Basics of MRAC scheme is already given in Chap. 5. The transfer function models of anode and cathode chambers are discussed in previous Chapter. The first technique is MRAC using MIT rule and the second one is Lyapunov based MRAC technique. The performance of both the developed control schemes is validated through appropriate simulation work.

This is a preview of subscription content, 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   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD   109.99
Price excludes VAT (USA)
  • Durable hardcover 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

Learn about institutional subscriptions

References

  1. Swathi, M., Ramesh, P.: Modeling and analysis of model reference adaptive control by using MIT and modified MIT rule for speed control of DC motor. In: 7th International Advance Computing Conference, pp. 482–486 (2017)

    Google Scholar 

  2. Priyank, J., Nigam, M.: Design of a model reference adaptive controller using modified mit rule for a second order system. Adv. Electron. Electr. Eng. 3(4), 477–485 (2013)

    Google Scholar 

  3. Zdenek, M., Martin, P., Stepan, O.: Simulation of MIT rule-based adaptive controller of a power plant superheater. Front. Comput. Educ. (2012)

    Google Scholar 

  4. Coman, A., Axente, C., Boscoianu, M.: The simulation of the adaptive systems using the MIT rule. In: 10th WSEAS International Conference on Mathematical Methods and Computational Techniques In Electrical Engineering, pp. 301–305 (2008)

    Google Scholar 

  5. Singh, B., Kumar, V.: A real time application of model reference adaptive PID controller for magnetic levitation system. In: 2015 IEEE Power, Communication and Information Technology Conference (PCITC) (2015)

    Google Scholar 

  6. Kavuran, G., Alagoz, B., Ates, A., Yeroglu, C.: Implementation of model reference adaptive controller with fractional order adjustment rules for coaxial rotor control test system. Balkan J. Electr. Comput. Eng. 4(2), 84–88 (2016)

    Google Scholar 

  7. Sapiee, M., Abdullah, F., Noordin, A., Jahari, A.: PI Controller design using model reference adaptive control approaches for a chemical process. In: 2008 Student Conference on Research and Development (2008)

    Google Scholar 

  8. Erik, S., Ming, L., Weijia, T., Fuchen, C., Jie, F., Cagdas, O.: Adapting to flexibility: model reference adaptive control of soft bending actuators. IEEE Robot. Autom. Lett. (2017)

    Google Scholar 

  9. Coman, S., Boldisor, C.: Model reference adaptive control for a DC electric drive. Bull. Transilvania Univ. Braşov Ser. I Eng. Sci. 6(55), 33–38 (2013)

    Google Scholar 

  10. Tariba, N., Bouknadel, A., Haddou, A., Ikken, N., Omari, H., Omari, H.E.l.: Comparative study of adaptive controller using MIT rules and Lyapunov method for MPPT standalone PV systems. In: AIP Conference Proceedings, pp. 04008-1–04008-07 (2017)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. University of Auckland, Auckland, New Zealand

    Ravi Patel

  2. Institute of Infrastructure Technology Research and Management, Ahmedabad, Gujarat, India

    Dipankar Deb

  3. Department of Electrical Engineering, National Institute of Technology, Silchar, India

    Rajeeb Dey

  4. “Aurel Vlaicu” University of Arad, Arad, Romania

    Valentina E. Balas

Authors
  1. Ravi Patel
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Dipankar Deb
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Rajeeb Dey
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Valentina E. Balas
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Ravi Patel , Dipankar Deb , Rajeeb Dey or Valentina E. Balas .

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Patel, R., Deb, D., Dey, R., E. Balas, V. (2020). Model Reference Adaptive Control of Microbial Fuel Cells. In: Adaptive and Intelligent Control of Microbial Fuel Cells. Intelligent Systems Reference Library, vol 161. Springer, Cham. https://doi.org/10.1007/978-3-030-18068-3_10

Download citation

Publish with us

Policies and ethics

Search

Navigation