Title: Digital implementation of model predictive control of an inverter for electric vehicles applications

Authors: Khawla Gaouzi; Hassan El Fadil; Zakariae El-Idrissi; Abdellah Lassioui

Addresses: ESIT Team, LGS Laboratory, ENSA Ibn Tofail University, 14000 Kénitra, Morocco ' ESIT Team, LGS Laboratory, ENSA Ibn Tofail University, 14000 Kénitra, Morocco ' ESIT Team, LGS Laboratory, ENSA Ibn Tofail University, 14000 Kénitra, Morocco ' ESIT Team, LGS Laboratory, ENSA Ibn Tofail University, 14000 Kénitra, Morocco

Abstract: The control of DC-AC converters with output LC filter has a special importance in applications intended for electric vehicles. However, the controller design becomes more complicated. This paper proposes a model predictive control (MPC) of DC-AC power converter for electric vehicles applications. The control objective is to regulate the output voltage of a three-phase inverter with output LC filter to its desired constant values. Once the control law is elaborated, several simulations are performed using MATLAB/Simulink tools and the results show that the output voltages perfectly track its references. Experimental results are also given, which show the effectiveness of the model predictive controller.

Keywords: model predictive control; three phase voltage source inverter; electric vehicle; MATLAB/Simulink.

DOI: 10.1504/IJMIC.2022.125067

International Journal of Modelling, Identification and Control, 2022 Vol.40 No.3, pp.210 - 218

Received: 04 Jun 2021
Accepted: 14 Oct 2021

Published online: 25 Aug 2022 *

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