Advertisement

Model Reference Adaptive Control of Microbial Fuel Cells

  • Ravi PatelEmail author
  • Dipankar DebEmail author
  • Rajeeb DeyEmail author
  • Valentina E. BalasEmail author
Chapter
Part of the Intelligent Systems Reference Library book series (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.

References

  1. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.University of AucklandAucklandNew Zealand
  2. 2.Institute of Infrastructure Technology Research and ManagementAhmedabadIndia
  3. 3.Department of Electrical EngineeringNational Institute of TechnologySilcharIndia
  4. 4.“Aurel Vlaicu” University of AradAradRomania

Personalised recommendations