• ISSN: 2010-0248 (Print)
    • Abbreviated Title: Int. J. Innov.  Manag. Technol.
    • Frequency: Quarterly
    • DOI: 10.18178/IJIMT
    • Editor-in-Chief: Prof. Jin Wang
    • Managing Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: Google Scholar, CNKI, Ulrich's Periodicals Directory,  Crossref, Electronic Journals Library.
    • E-mail: ijimt@ejournal.net
HOME > Archive > 2014 > Volume 5 Number 1 (Feb. 2014) >
IJIMT 2014 Vol.5(1): 9-13 ISSN: 2010-0248
DOI: 10.7763/IJIMT.2014.V5.477

Modeling and Simulation of Three-Phase Voltage Source Inverter Using a Model Predictive Current Control

Ali M. Almaktoof, A. K. Raji, and M. T. E. Kahn

Abstract— This paper focuses on a combination of three-phase Voltage Source Inverter (VSI) with a predictive current control to provide an optimized system for three-phase inverter that controls the load current. The present contribution presents a Finite Set-Model Predictive Control (FS-MPC) strategy for a two-level three-phase VSI with resistive- inductive load (RL-Load). In order to reduce the computational effort which gives rise to multiple possibilities has been determined. With different cases the evaluation of the system is done. Firstly, the system performance with long prediction horizon is carried out. Secondly, the dynamic response of the system with step change in the amplitude of the reference is investigated. Simulations are carried out using MATLAB/Simulink to test the effectiveness of an FS-MPC for the two-level VSI with RL-Load.

Index Terms— Finite Set-Model predictive control, voltage source inverter, RL-Load, prediction horizon.

A. M. Almaktoof, R. K. Atanda and T. Kahn are with Cape Peninsula University of Technology. Electrical Engineering department, Bellville Campus, 7535, Republic of South Africa (e-mail: 213301091@mycput.ac.za, rajia@cput.ac.za, KhanT@cput.ac.za).

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Cite: Ali M. Almaktoof, A. K. Raji, and M. T. E. Kahn, " Modeling and Simulation of Three-Phase Voltage Source Inverter Using a Model Predictive Current Control," International Journal of Innovation, Management and Technology vol. 5, no. 1, pp. 9-13, 2014.

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