Model predictive control of power electronic systems: Methods, results, and challenges
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 …
power electronics. This survey paper highlights the most relevant MPC techniques for power …
Model predictive control for power converters and drives: Advances and trends
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 …
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
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 …
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 …
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
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 …
high-voltage high-power applications. The main features of MMC are modularity, voltage …
Review of control and energy management approaches in micro-grid systems
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 …
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 …
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 …
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
The application of Photovoltaic (PV) in the distributed generation system is acquiring more
consideration with the developments in power electronics technology and global …
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
Permanent magnet synchronous motors (PMSMs) have been widely employed in the
industry. Finite-control-set model predictive control (FCS-MPC), as an advanced control …
industry. Finite-control-set model predictive control (FCS-MPC), as an advanced control …