Prof. Dr. Marco Rivera
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Representative Publications
View All Publications3 November 2016 in IEEE Transactions on Industrial Electronics
Journal Article
Sergio Vazquez Perez
Jose Rodriguez
Marco RiveraLFLeopoldo Franquelo
Leopoldo FranqueloMNMargarita Norambuena
Margarita NorambuenaModel 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 for power converters and drives, describing the current state of this control strategy and analyzing the new trends and challenges it presents when applied to power electronic systems. The paper revisits the operating principle of MPC and identifies three key elements in the MPC strategies, namely the prediction model, the cost function, and the optimization algorithm. This paper summarizes the most recent research concerning these elements, providing details about the different solutions proposed by the academic and industrial communities.
18 August 2011 in IEEE Transactions on Industrial Electronics
Journal Article
Jose RodriguezMarco RiveraJKJohan W. Kolar
Johan W. Kolar
Patrick WheelerThis paper presents a review of the most popular control and modulation strategies studied for matrix converters (MCs) in the last decade. The purpose of most of these methods is to generate sinusoidal current on the input and output sides. These methods are compared considering theoretical complexity and performance. This paper concludes that the control strategy has a significant impact on the resonance of the MC input filter.
9 October 2017 in IEEE Transactions on Industrial Electronics
Journal Article
FDFelipe Donoso
Felipe Donoso
Andrés Mora
Roberto Cárdenas-DobsonAAAlejandro Angulo
Alejandro Angulo
Doris SaezMarco RiveraIn this paper, finite-set model-predictive control (FS-MPC) methodologies for a grid-connected three-level neutral-point-clamped converter are investigated. The proposed control strategies produce fixed switching frequency, maintaining all the advantages of predictive control such as fast dynamic response, inclusion of nonlinearities and restrictions, and multivariable control using a single control loop. The first of the proposed FS-MPC strategies is based on a multiobjective cost function, designed to regulate both the inverter currents and the balancing of the dc-link capacitor voltages. The second FS-MPC strategy is derived from the first one, and it is based on a cost function that regulates only the grid current, with the balancing of the capacitor voltages being realized by controlling the duty cycles of the redundant vectors. The proposed control systems are experimentally validated using a 5-kW prototype. The experimental results show a good performance for both strategies, in steady-state and transient response, with a total harmonic distortion lower than 2% for the currents supplied to the grid.
1 July 2013 in IEEE Transactions on Power Electronics
Journal Article
VYVenkata Yaramasu
Venkata YaramasuMarco RiveraBWBin Wu
Bin Wu
Jose RodriguezIn this paper, a simple model predictive current control strategy is proposed for four-leg inverters to deliver power to the (un)balanced/(non)linear loads. Unlike classical control schemes, the proposed method does not require current PI controllers or a complex modulation stage. The discrete-time model of the inverter, filter, and load are used to predict the future behavior of the load currents for each of the 16 possible switching states. The control method chooses a switching state that minimizes the error between the output currents and their references. The performance of the proposed method has been investigated for perturbations in the filter and load parameters. The neutral-leg switching frequency reduction algorithm is also proposed to improve the efficiency of the converter. The feasibility of the proposed method is verified in this first part, through simulation results.
1 February 2014 in IEEE Transactions on Power Electronics
Journal Article
PAPablo Acuna
Pablo AcunaLMLuis Moran
Luis Moran
Marco RiveraJDJuan Dixon
Juan Dixon
Jose RodriguezAn active power filter implemented with a four-leg voltage-source inverter using a predictive control scheme is presented. The use of a four-leg voltage-source inverter allows the compensation of current harmonic components, as well as unbalanced current generated by single-phase nonlinear loads. A detailed yet simple mathematical model of the active power filter, including the effect of the equivalent power system impedance, is derived and used to design the predictive control algorithm. The compensation performance of the proposed active power filter and the associated control scheme under steady state and transient operating conditions is demonstrated through simulations and experimental results.
6 July 2012 in IEEE Transactions on Industrial Electronics
Journal Article
FVFelipe Villarroel
Felipe Villarroel
Jose Espinoza
Christian A. RojasJose RodriguezMarco RiveraDSDaniel Sbarbaro
Daniel Sbarbaro
Finite-states model predictive control is a rising alternative in the control of power converters and drives. Successful application to different topologies and applications such as two-level voltage source inverters, neutral-point-clamped and cascaded H-bridge inverters, and matrix converters has shown its potential in power converters. However, when multiple control objectives are desired, weighting factors are required to appropriately select the switching states. The selection of these factors is a time-consuming and complex task. In this work, the standard selection stage is replaced by a fuzzy decision-making strategy, considering, as a case study, the control of both load and supply currents in the direct matrix converter (DMC). As a result, weighting-factor selection is avoided, and a simple selection scheme is obtained for this application. In addition, a more natural design approach to the state selection is opened for other applications. Simulation and experimental results are presented to validate the approach in an experimental DMC prototype.
About Me
Prof.-Dr. Marco Rivera received an Electronic Civil Engineering degree and an M.Sc. degree in Engineering, with a specialization in Electrical Engineering, from the Universidad de Concepción. Later, he obtained a Ph.D. degree in Electronic Engineering from the Universidad Técnica Federico Santa María, and was awarded the “Premio Tesis de Doctorado Academia Chilena de Ciencias 2012” for the best PhD thesis developed in 2011 for national and foreign students in any exact or natural sciences program who are members of the Academia Chilena de Ciencias, Chile. Throughout the last few years, he has been a visiting professor at several international universities.
He is the Director of the Laboratory of Energy Conversion and Power Electronics (Laboratorio de Conversión de Energías y Electrónica de Potencia, LCEEP) at the Universidad de Talca, Chile. He was a full professor in the Department of Electrical Engineering at the Universidad de Talca. In April 2023, he joined the Power Electronics, Machines and Control (PEMC) Research Institute of the University of Nottingham as a professor. His main research areas are power electronics, renewable energies, the advanced control of power converters, and microgrids, among others. He has published more than 520 academic publications in leading international conferences and journals.