IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v10y2022i20p3750-d939947.html
   My bibliography  Save this article

Sensitivity Analysis of Krasovskii Passivity-Based Controllers

Author

Listed:
  • Vlad Mihaly

    (Department of Automation, Technical University of Cluj-Napoca, Str. G. Bariţiu Nr. 26-28, 400027 Cluj-Napoca, Romania
    These authors contributed equally to this work.)

  • Mircea Şuşcă

    (Department of Automation, Technical University of Cluj-Napoca, Str. G. Bariţiu Nr. 26-28, 400027 Cluj-Napoca, Romania
    These authors contributed equally to this work.)

  • Dora Morar

    (Department of Automation, Technical University of Cluj-Napoca, Str. G. Bariţiu Nr. 26-28, 400027 Cluj-Napoca, Romania)

  • Petru Dobra

    (Department of Automation, Technical University of Cluj-Napoca, Str. G. Bariţiu Nr. 26-28, 400027 Cluj-Napoca, Romania)

Abstract

In the domain of passivity theory, there were major contributions in the last decade, the most recent notion of passivity being the so-called Krasovskii passivity. This framework offers the possibility of designing a controller which ensures the passivity of the resulting closed-loop system. The current paper proposes a solution to design the parameters of Krasovskii passivity-based controllers (K-PBCs) in order to ensure small sensitivity of the closed-loop systems. As such, after the initial construction of the passivity output, the controller parameters are designed in order to impose the dominant eigenvalues of the Jacobian of the resulting closed-loop system with the smallest deviation around the given forced equilibrium point which is, additionally, smaller than a prescribed stability margin. The resulting optimization problem is non-convex by nature, and a metaheuristic approach is proposed to design these parameters. Moreover, in order to impose an extra set of performances, the control system contains an outer loop where dynamical path planning is used to impose the additional requirements. All mentioned results are developed for processes modeled as bilinear systems. In order to illustrate the proposed control method, a numerical example consisting of a single-ended primary inductor DC-DC converter (SEPIC) process is presented.

Suggested Citation

  • Vlad Mihaly & Mircea Şuşcă & Dora Morar & Petru Dobra, 2022. "Sensitivity Analysis of Krasovskii Passivity-Based Controllers," Mathematics, MDPI, vol. 10(20), pages 1-19, October.
  • Handle: RePEc:gam:jmathe:v:10:y:2022:i:20:p:3750-:d:939947
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/10/20/3750/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/10/20/3750/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mircea Şuşcă & Vlad Mihaly & Mihai Stănese & Dora Morar & Petru Dobra, 2021. "Unified CACSD Toolbox for Hybrid Simulation and Robust Controller Synthesis with Applications in DC-to-DC Power Converter Control," Mathematics, MDPI, vol. 9(7), pages 1-31, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Paolo Mercorelli, 2022. "Robust Control as a Mathematical Paradigm for Innovative Engineering Applications," Mathematics, MDPI, vol. 10(23), pages 1-4, November.

    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:gam:jmathe:v:10:y:2022:i:20:p:3750-:d:939947. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.