A Neural-Network-Based Model Predictive Control of Three-Phase Inverter With an Output Filter

IS Mohamed, S Rovetta, TD Do, T Dragicević… - IEEE …, 2019 - ieeexplore.ieee.org
Model predictive control (MPC) has become one of the well-established modern control
methods for three-phase inverters with an output LC filter, where a high-quality voltage with …

An artificial neural network-based model predictive control for three-phase flying capacitor multilevel inverter

A Bakeer, IS Mohamed, PB Malidarreh, I Hattabi… - IEEE …, 2022 - ieeexplore.ieee.org
Model predictive control (MPC) has been used widely in power electronics due to its simple
concept, fast dynamic response, and good reference tracking. However, it suffers from …

Evolution of Equipment in Electromobility and Autonomous Driving Regarding Safety Issues

C Katis, A Karlis - Energies, 2023 - mdpi.com
Over the years, an increase in the traffic of electric and hybrid electric vehicles and vehicles
with hydrogen cells is being observed, while at the same time, self-driving cars are …

From MPC-Based to End-to-End (E2E) Learning-Based Control Policy for Grid-Tied 3L-NPC Transformerless Inverter

SA Zaid, IS Mohamed, A Bakeer, L Liu… - IEEE …, 2022 - ieeexplore.ieee.org
This paper proposes an end-to-end () learning-based control policy to directly control a
transformerless grid-tied three-level neutral-point-clamped (3L-NPC) inverter powered by a …

Performance improvement of H8 transformerless grid-tied inverter using model predictive control considering a weak grid

SA Zaid, H Albalawi, H AbdelMeguid, TA Alhmiedat… - Processes, 2022 - mdpi.com
There is increasing utilization of photovoltaic (PV) grid-connected systems in modern power
networks. Currently, PV grid-connected systems utilize transformerless inverters that have …

Detection and tracking of pallets using a laser rangefinder and machine learning techniques

IS Mohamed - 2017 - inria.hal.science
The problem of develo** an autonomous forklift that is able to pick-up and place pallets is
not new. The same is true for pallet detection and localization, which pose interesting …

Performance comparison of model predictive control methods for active front end rectifiers

ES Jun, S Kwak, T Kim - IEEE Access, 2018 - ieeexplore.ieee.org
Active front-end rectifiers are tasked with generating high-quality, low-distortion sinusoidal
line currents in the presence of adverse circuit conditions. When suitable control methods …

Performance improvement of a grid-tied neutral-point-clamped 3-φ transformerless inverter using model predictive control

H Albalawi, SA Zaid - Processes, 2019 - mdpi.com
Grid-connected photovoltaic (PV) systems are now a common part of the modern power
network. A recent development in the topology of these systems is the use of transformerless …

Model predictive virtual flux control to improve performance under distorted input voltage conditions

JC Kim, S Kwak - IEEE Access, 2018 - ieeexplore.ieee.org
This paper proposes a model predictive virtual flux control (MPVFC) method that can
mitigate the degradation of the total harmonic distortion of rectifier input currents …

[PDF][PDF] Model predictive control of h7 transformerless inverter powered by pv

I Atawi, S Zaid - Intell. Autom. Soft Comput, 2022 - academia.edu
Transformerless inverters have become an important integration of the modern photovoltaic
(PV) grid-tied systems. Unfortunately, it has a general safety problem regarding the earth …