Model predictive control of power electronic systems: Methods, results, and challenges

P Karamanakos, E Liegmann, T Geyer… - IEEE Open Journal of …, 2020 - ieeexplore.ieee.org
Model predictive control (MPC) has established itself as a promising control methodology in
power electronics. This survey paper highlights the most relevant MPC techniques for power …

Model predictive control for power converters and drives: Advances and trends

S Vazquez, J Rodriguez, M Rivera… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
Model predictive control (MPC) is a very attractive solution for controlling power electronic
converters. The aim of this paper is to present and discuss the latest developments in MPC …

Latest advances of model predictive control in electrical drives—Part II: Applications and benchmarking with classical control methods

J Rodriguez, C Garcia, A Mora… - … on Power Electronics, 2021 - ieeexplore.ieee.org
This article presents the application of model predictive control (MPC) in high-performance
drives. A wide variety of machines have been considered: Induction machines, synchronous …

Guidelines for the design of finite control set model predictive controllers

P Karamanakos, T Geyer - IEEE Transactions on Power …, 2019 - ieeexplore.ieee.org
Direct model predictive control (MPC) with reference tracking, also referred to as finite
control set MPC (FCS-MPC), has gained significant attention in recent years, mainly from the …

Evolution of topologies, modeling, control schemes, and applications of modular multilevel converters

A Dekka, B Wu, RL Fuentes, M Perez… - IEEE Journal of …, 2017 - ieeexplore.ieee.org
Modular multilevel converter (MMC) is one of the most promising topologies for medium to
high-voltage high-power applications. The main features of MMC are modularity, voltage …

Review of control and energy management approaches in micro-grid systems

A Elmouatamid, R Ouladsine, M Bakhouya… - Energies, 2020 - mdpi.com
The demand for electricity is increased due to the development of the industry, the
electrification of transport, the rise of household demand, and the increase in demand for …

Weighting factor design in model predictive control of power electronic converters: An artificial neural network approach

T Dragičević, M Novak - IEEE Transactions on Industrial …, 2018 - ieeexplore.ieee.org
This paper proposes the use of an artificial neural network (ANN) for solving one of the
ongoing research challenges in finite set-model predictive control (FSMPC) of power …

[图书][B] Model predictive control of microgrids

C Bordons, F Garcia-Torres, MA Ridao - 2020 - Springer
Control of microgrids is evolving considerably over the past few years. Microgrids, which are
small-scale power systems with a cluster of loads, distributed generators, and storage units …

A comprehensive review on inverter topologies and control strategies for grid connected photovoltaic system

K Zeb, W Uddin, MA Khan, Z Ali, MU Ali… - … and Sustainable Energy …, 2018 - Elsevier
The application of Photovoltaic (PV) in the distributed generation system is acquiring more
consideration with the developments in power electronics technology and global …

Finite-control-set model predictive control of permanent magnet synchronous motor drive systems—An overview

T Li, X Sun, G Lei, Y Guo, Z Yang… - IEEE/CAA Journal of …, 2022 - ieeexplore.ieee.org
Permanent magnet synchronous motors (PMSMs) have been widely employed in the
industry. Finite-control-set model predictive control (FCS-MPC), as an advanced control …