• English
    • العربية
  • العربية
  • Login
  • QU
  • QU Library
  •  Home
  • Communities & Collections
  • Help
    • Item Submission
    • Publisher policies
    • User guides
    • FAQs
  • About QSpace
    • Vision & Mission
View Item 
  •   Qatar University Digital Hub
  • Qatar University Institutional Repository
  • Academic
  • Faculty Contributions
  • College of Engineering
  • Electrical Engineering
  • View Item
  • Qatar University Digital Hub
  • Qatar University Institutional Repository
  • Academic
  • Faculty Contributions
  • College of Engineering
  • Electrical Engineering
  • View Item
  •      
  •  
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Finite control set model predictive control for grid-tied quasi-Z-source based multilevel inverter

    Thumbnail
    Date
    2016
    Author
    Trabelsi, Mohamed
    Bayhan, Sertac
    Abu-Rub, Haitham
    Ben-Brahim, Lazhar
    Zanchetta, Pericle
    Metadata
    Show full item record
    Abstract
    In this paper, a finite control set Model Predictive Control (MPC) for grid-tie quasi-Z-Source (qZS) based multilevel inverter is proposed. The proposed Power Conditioning System (PCS) consists of a single-phase 2-cell Cascaded H-Bridge (CHB) inverter where each module is fed by a qZS network. The aim of the proposed control technique is to achieve grid-tie current injection, low Total Harmonic Distortion (THD) current, unity power factor, while balancing DC-link voltage for all qZS-CHB inverter modules. The feasibility of this strategy is validated by simulation using Matlab/Simulink environment. 2016 IEEE.
    DOI/handle
    http://dx.doi.org/10.1109/ICIT.2016.7474768
    http://hdl.handle.net/10576/22512
    Collections
    • Electrical Engineering [‎2821‎ items ]

    entitlement

    Related items

    Showing items related by title, author, creator and subject.

    • Thumbnail

      Enhanced block-sparse adaptive Bayesian algorithm based control strategy of superconducting magnetic energy storage units for wind farms power ripple minimization 

      Hasanien, H. M.; Turky, R. A.; Tostado-Veliz, M.; Muyeen, S.M.; Jurado, F. ( Elsevier Ltd , 2022 , Article)
      This article presents a novel enhanced block-sparse adaptive Bayesian algorithm (EBSABA) to fully control proportional-integral (PI) controllers of superconducting magnetic energy storage (SMES) units. The main goal is to ...
    • Thumbnail

      Rotor Flux-Oriented Control of Three-Phase Induction Motor Using Sliding Mode Controller and Rotor Flux Estimator 

      Sabbir, Ahmad H.M.; Meraj, M.; Iqbal, A.; Meskin, Nader ( Springer Science and Business Media Deutschland GmbH , 2021 , Conference)
      The work focuses on implementing rotor flux-oriented control (RFOC) for controlling the rotational speed and torque of a three-phase squirrel cage induction motor (IM). The speed controller has been implemented based on ...
    • Thumbnail

      Adaptive cooperative control of nonlinear multi-agent systems with uncertain time-varying control directions and dead-zone nonlinearity 

      Shahriari-kahkeshi, M.; Meskin, Nader ( Elsevier B.V. , 2021 , Article)
      This paper investigates the development of an adaptive cooperative control scheme for the consensus of uncertain nonlinear multi-agent systems subjected to uncertain time-varying control direction, disturbances, and dead-zone ...

    Qatar University Digital Hub is a digital collection operated and maintained by the Qatar University Library and supported by the ITS department

    Contact Us | Send Feedback
    Contact Us | Send Feedback | QU

     

     

    Home

    Submit your QU affiliated work

    Browse

    All of Digital Hub
      Communities & Collections Publication Date Author Title Subject Type Language Publisher
    This Collection
      Publication Date Author Title Subject Type Language Publisher

    My Account

    Login

    Statistics

    View Usage Statistics

    About QSpace

    Vision & Mission

    Help

    Item Submission Publisher policiesUser guides FAQs

    Qatar University Digital Hub is a digital collection operated and maintained by the Qatar University Library and supported by the ITS department

    Contact Us | Send Feedback
    Contact Us | Send Feedback | QU

     

     

    Video