Articles producció científica> Enginyeria Electrònica, Elèctrica i Automàtica

Robust LQR control for PWM converters with parameter-dependent Lyapunov functions

  • Identification data

    Identifier: imarina:9138839
    Handle: https://hdl.handle.net/20.500.11797/imarina9138839
    Authors:
    Aouani, NediaOlalla, Carlos
    Abstract:
    © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This paper presents a novel framework for robust linear quadratic regulator (LQR)-based control of pulse-width modulated (PWM) converters. The converter is modeled as a linear parameter-varying (LPV) system and the uncertainties, besides their rate of change, are taken into account. The proposed control synthesis method exploits the potential of linear matrix inequalities (LMIs), assuring robust stability whilst obtaining non-conservative results. The method has been validated in a PWM DC–DC boost converter, such that it has been shown, with the aid of simulations, that improved robustness and improved performance properties can be achieved, with respect to previously proposed approaches.

  • Others:

    Author, as appears in the article.: Aouani, Nedia; Olalla, Carlos
    Department: Enginyeria Electrònica, Elèctrica i Automàtica
    e-ISSN: 2076-3417
    URV's Author/s: Olalla Martínez, Carlos
    Keywords: Uncertainty Robustness Pwm converters Performance Lqr Lmis
    Abstract: © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This paper presents a novel framework for robust linear quadratic regulator (LQR)-based control of pulse-width modulated (PWM) converters. The converter is modeled as a linear parameter-varying (LPV) system and the uncertainties, besides their rate of change, are taken into account. The proposed control synthesis method exploits the potential of linear matrix inequalities (LMIs), assuring robust stability whilst obtaining non-conservative results. The method has been validated in a PWM DC–DC boost converter, such that it has been shown, with the aid of simulations, that improved robustness and improved performance properties can be achieved, with respect to previously proposed approaches.
    Thematic Areas: Química Process chemistry and technology Physics, applied Materials science, multidisciplinary Materials science (miscellaneous) Materials science (all) Materiais Instrumentation General materials science General engineering Fluid flow and transfer processes Engineering, multidisciplinary Engineering (miscellaneous) Engineering (all) Engenharias ii Engenharias i Computer science applications Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências agrárias i Ciência de alimentos Chemistry, multidisciplinary Biodiversidade Astronomia / física
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: carlos.olalla@urv.cat
    Author identifier: 0000-0001-8333-9840
    Record's date: 2024-10-12
    Papper version: info:eu-repo/semantics/publishedVersion
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Applied Sciences-Basel. 10 (21): 1-13
    APA: Aouani, Nedia; Olalla, Carlos (2020). Robust LQR control for PWM converters with parameter-dependent Lyapunov functions. Applied Sciences-Basel, 10(21), 1-13. DOI: 10.3390/app10217534
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2020
    Publication Type: Journal Publications

  • Keywords:

    Chemistry, Multidisciplinary,Computer Science Applications,Engineering (Miscellaneous),Engineering, Multidisciplinary,Fluid Flow and Transfer Processes,Instrumentation,Materials Science (Miscellaneous),Materials Science, Multidisciplinary,Physics, Applied,Process Chemistry and Technology
    Uncertainty
    Robustness
    Pwm converters
    Performance
    Lqr
    Lmis
    Química
    Process chemistry and technology
    Physics, applied
    Materials science, multidisciplinary
    Materials science (miscellaneous)
    Materials science (all)
    Materiais
    Instrumentation
    General materials science
    General engineering
    Fluid flow and transfer processes
    Engineering, multidisciplinary
    Engineering (miscellaneous)
    Engineering (all)
    Engenharias ii
    Engenharias i
    Computer science applications
    Ciências biológicas iii
    Ciências biológicas ii
    Ciências biológicas i
    Ciências agrárias i
    Ciência de alimentos
    Chemistry, multidisciplinary
    Biodiversidade
    Astronomia / física

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