P
Pericle Zanchetta
Researcher at University of Nottingham
Publications - 386
Citations - 9223
Pericle Zanchetta is an academic researcher from University of Nottingham. The author has contributed to research in topics: Model predictive control & Control theory. The author has an hindex of 36, co-authored 363 publications receiving 7641 citations. Previous affiliations of Pericle Zanchetta include Instituto Politécnico Nacional & University of Bari.
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Journal ArticleDOI
State of the Art of Finite Control Set Model Predictive Control in Power Electronics
Jose Rodriguez,Marian P. Kazmierkowski,Jose Espinoza,Pericle Zanchetta,Haitham Abu-Rub,Hector Young,Christian A. Rojas +6 more
TL;DR: The paper shows how the use of FCS-MPC provides a simple and efficient computational realization for different control objectives in Power Electronics.
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Model Predictive Control: A Review of Its Applications in Power Electronics
Sergio Vazquez,Jose I. Leon,Leopoldo G. Franquelo,Jose Rodriguez,Hector Young,Abraham Marquez,Pericle Zanchetta +6 more
TL;DR: Model-based predictive control (MPC) for power converters and drives is a control technique that has gained attention in the research community as mentioned in this paper, and it can easily handle multivariable case and system constraints and nonlinearities in a very intuitive way.
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Advanced Power Electronic Conversion and Control System for Universal and Flexible Power Management
TL;DR: This paper presents analysis, design, and experimental validation of a back-to-back three-phase ac-dc-ac multilevel converter employed for universal and flexible power management (UNIFLEX-PM) of future electrical grids and its advanced control technique.
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Modulated Model Predictive Control for a Three-Phase Active Rectifier
TL;DR: In this article, a modulated MPC is applied to a two-level three-phase converter and compared with a number of similar approaches, and experimental results are used to support theoretical analysis and simulation studies.
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Modulated Model Predictive Control for a Seven-Level Cascaded H-Bridge Back-to-Back Converter
TL;DR: The results show the increased performance of the modulated model predictive control with respect to the classic finite control set model predictive Control in terms of current waveform total harmonic distortion (THD).