IDEAS home Printed from https://ideas.repec.org/a/spr/joptap/v179y2018i3d10.1007_s10957-018-1250-4.html
   My bibliography  Save this article

Optimal Control of Vibration-Based Micro-energy Harvesters

Author

Listed:
  • Thuy T. T. Le

    (Otto-von-Guericke University)

  • Felix Jost

    (Otto-von-Guericke University)

  • Sebastian Sager

    (Otto-von-Guericke University)

Abstract

We analyze the maximal output power that can be obtained from a vibration energy harvester. While recent work focused on the use of mechanical nonlinearities and on determining the optimal resistive load at steady-state operation of the transducers to increase extractable power, we propose an optimal control approach. We consider the open-circuit stiffness and the electrical time constant as control functions of linear two-port harvesters. We provide an analysis of optimal controls by means of Pontryagin’s maximum principle. By making use of geometric methods from optimal control theory, we are able to prove the bang–bang property of optimal controls. Numerical results illustrate our theoretical analysis and show potential for more than 200% improvement of harvested power compared to that of fixed controls.

Suggested Citation

  • Thuy T. T. Le & Felix Jost & Sebastian Sager, 2018. "Optimal Control of Vibration-Based Micro-energy Harvesters," Journal of Optimization Theory and Applications, Springer, vol. 179(3), pages 1025-1042, December.
  • Handle: RePEc:spr:joptap:v:179:y:2018:i:3:d:10.1007_s10957-018-1250-4
    DOI: 10.1007/s10957-018-1250-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10957-018-1250-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10957-018-1250-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lamorlette, A., 2023. "A coupled model of global energy production and ERoEI applied to photovoltaic and wind, an estimation of net production," Energy, Elsevier, vol. 278(PB).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:joptap:v:179:y:2018:i:3:d:10.1007_s10957-018-1250-4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.