Proceedings ArticleDOI
A modulated model predictive control scheme for a two-level voltage source inverter
Marco Rivera,F. Morales,Carlos R. Baier,Javier Munoz,Luca Tarisciotti,Pericle Zanchetta,Patrick Wheeler +6 more
- pp 2224-2229
TLDR
A novel predictive control strategy with a fixed switching frequency for a voltage source inverter called as modulated model predictive control (M2PC) is proposed, with the aim of obtaining a modulated waveform at the output of the converter.Abstract:
Traditional finite-set model predictive control (FS-MPC) techniques are characterized by a variable switching frequency which causes noise as well as large voltage and current ripple. In this paper a novel predictive control strategy with a fixed switching frequency for a voltage source inverter called as modulated model predictive control (M2PC) is proposed, with the aim of obtaining a modulated waveform at the output of the converter. The feasibility of this strategy is evaluated using simulation results to demonstrate the advantages of predictive control, such as fast dynamic response and the easy inclusion of nonlinearities. Finally, a modified strategy is proposed in order to naturally reduce the common mode voltage. The constraints of the system are maintained but the performance of the system in terms of power quality is improved when compared to FS-MPC.read more
Citations
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Journal ArticleDOI
Control of a Direct Matrix Converter With Modulated Model-Predictive Control
Manjusha Vijayagopal,Pericle Zanchetta,Lee Empringham,Liliana de Lillo,Luca Tarisciotti,Patrick Wheeler +5 more
TL;DR: In this paper, the authors investigated the use of a model-predictive control strategy to control a direct matrix converter and proposed a control method combining the features of the classical model-predictive control and the space vector modulation technique.
Journal ArticleDOI
Model Predictive Control for a Dual-Active Bridge Inverter With a Floating Bridge
TL;DR: The proposed floating bridge topology eliminates the need for isolation transformer in a dual inverter system and therefore reduces the size, weight, and losses in the system.
Journal ArticleDOI
A Low-Complexity Optimal Switching Time-Modulated Model-Predictive Control for PMSM With Three-Level NPC Converter
Qi Wang,Haitao Yu,Chen Li,Xiaoyu Lang,Seang Shen Yeoh,Tao Yang,Marco Rivera,Serhiy Bozhko,Patrick Wheeler +8 more
TL;DR: Compared with the conventional FCS-MPC, the proposed OST-M2PC method has a fixed switching frequency as well as better power quality and can operate at a 20-kHz sampling frequency, reducing the computational burden of the processor.
Journal ArticleDOI
Modulated Model-Free Predictive Control With Minimum Switching Losses for PMSM Drive System
TL;DR: A modulated model-free predictive control with minimum switching losses (MSL-MMFPC) is proposed to improve the steady-state performance and reduce the switching losses for a permanent magnet synchronous motor (PMSM) drive system.
Journal ArticleDOI
Multi Objective Modulated Model Predictive Control of Stand-Alone Voltage Source Converters
TL;DR: A novel model predictive control strategy for stand-alone voltage source converters (VSCs) with constant switching frequency that allows the usage of linear theory for tuning the parameters and the superior characteristics of this control strategy compared to cascaded linear control and finite control set MPC are demonstrated experimentally.
References
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Journal ArticleDOI
Model Predictive Control—A Simple and Powerful Method to Control Power Converters
TL;DR: The feasibility and great potential of FCS-MPC due to present-day signal-processing capabilities, particularly for power systems with a reduced number of switching states and more complex operating principles, such as matrix converters are found.
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.
Journal ArticleDOI
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.
Journal ArticleDOI
Predictive Torque Control of Induction Machines Based on State-Space Models
TL;DR: A predictive control algorithm that uses a state-space model of an induction machine with time-varying components improving the accuracy of state prediction and a high degree of flexibility is obtained with the proposed control technique due to the online optimization algorithm.