Fixed frequency finite-state model predictive control for indirect matrix converters with optimal switching pattern

Finite States Model Predictive Control (MPC) has been recently applied to several converters topologies for the many advantages it can provide such as fast dynamics, multi-target control capabilities, easy implementation on digital control board and capability of including constraints in the control...

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Main Authors: Lei, Jiaxing, Tariscotti, Luca, Trentin, Andrew, Zanchetta, Pericle, Wheeler, Patrick, Formentini, Andrea
Format: Conference or Workshop Item
Published: 2016
Subjects:
Online Access:https://eprints.nottingham.ac.uk/43817/
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author Lei, Jiaxing
Tariscotti, Luca
Trentin, Andrew
Zanchetta, Pericle
Wheeler, Patrick
Formentini, Andrea
author_facet Lei, Jiaxing
Tariscotti, Luca
Trentin, Andrew
Zanchetta, Pericle
Wheeler, Patrick
Formentini, Andrea
author_sort Lei, Jiaxing
building Nottingham Research Data Repository
collection Online Access
description Finite States Model Predictive Control (MPC) has been recently applied to several converters topologies for the many advantages it can provide such as fast dynamics, multi-target control capabilities, easy implementation on digital control board and capability of including constraints in the control law. However, its variable switching frequency and lower steady state waveform quality, with respect to standard control plus modulator systems, represents a limitation to its applicability. Modulated Model Predictive Control (M²PC) combines all the advantages of the simple concept of MPC together with the fixed switching frequency characteristic of PWM algorithms. In particular this work focuses on the Indirect Matrix Converter (IMC), where the tight coupling between rectifier stage and inverter stage has to be taken into account in the M²PC design. This paper proposes an M²PC solution, suitable for IMC, with an optimal switching pattern to emulate the desired waveform quality features of Space Vector Modulation (SVM). In the optimal pattern, the switching sequences of the rectifier stage and inverter stage are rearranged in order to always achieve zero-current switching on the rectifier stage, thus simplifying its commutation strategy. In addition, the optimal pattern enables M²PC to produce sinusoidal source current, sinusoidal output current and maintain all desirable characteristics of MPC.
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format Conference or Workshop Item
id nottingham-43817
institution University of Nottingham Malaysia Campus
institution_category Local University
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publishDate 2016
recordtype eprints
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spelling nottingham-438172020-05-04T18:11:31Z https://eprints.nottingham.ac.uk/43817/ Fixed frequency finite-state model predictive control for indirect matrix converters with optimal switching pattern Lei, Jiaxing Tariscotti, Luca Trentin, Andrew Zanchetta, Pericle Wheeler, Patrick Formentini, Andrea Finite States Model Predictive Control (MPC) has been recently applied to several converters topologies for the many advantages it can provide such as fast dynamics, multi-target control capabilities, easy implementation on digital control board and capability of including constraints in the control law. However, its variable switching frequency and lower steady state waveform quality, with respect to standard control plus modulator systems, represents a limitation to its applicability. Modulated Model Predictive Control (M²PC) combines all the advantages of the simple concept of MPC together with the fixed switching frequency characteristic of PWM algorithms. In particular this work focuses on the Indirect Matrix Converter (IMC), where the tight coupling between rectifier stage and inverter stage has to be taken into account in the M²PC design. This paper proposes an M²PC solution, suitable for IMC, with an optimal switching pattern to emulate the desired waveform quality features of Space Vector Modulation (SVM). In the optimal pattern, the switching sequences of the rectifier stage and inverter stage are rearranged in order to always achieve zero-current switching on the rectifier stage, thus simplifying its commutation strategy. In addition, the optimal pattern enables M²PC to produce sinusoidal source current, sinusoidal output current and maintain all desirable characteristics of MPC. 2016-09-20 Conference or Workshop Item PeerReviewed Lei, Jiaxing, Tariscotti, Luca, Trentin, Andrew, Zanchetta, Pericle, Wheeler, Patrick and Formentini, Andrea (2016) Fixed frequency finite-state model predictive control for indirect matrix converters with optimal switching pattern. In: 2016 IEEE Energy Conversion Congress and Exposition (ECCE), 18-22 September 2016, Milwaukee, WI, USA. Indirect Matrix Converter (IMC) Modulated Model Predictive Control (M²PC) Switching Pattern http://ieeexplore.ieee.org/abstract/document/7855118/
spellingShingle Indirect Matrix Converter (IMC)
Modulated Model Predictive Control (M²PC)
Switching Pattern
Lei, Jiaxing
Tariscotti, Luca
Trentin, Andrew
Zanchetta, Pericle
Wheeler, Patrick
Formentini, Andrea
Fixed frequency finite-state model predictive control for indirect matrix converters with optimal switching pattern
title Fixed frequency finite-state model predictive control for indirect matrix converters with optimal switching pattern
title_full Fixed frequency finite-state model predictive control for indirect matrix converters with optimal switching pattern
title_fullStr Fixed frequency finite-state model predictive control for indirect matrix converters with optimal switching pattern
title_full_unstemmed Fixed frequency finite-state model predictive control for indirect matrix converters with optimal switching pattern
title_short Fixed frequency finite-state model predictive control for indirect matrix converters with optimal switching pattern
title_sort fixed frequency finite-state model predictive control for indirect matrix converters with optimal switching pattern
topic Indirect Matrix Converter (IMC)
Modulated Model Predictive Control (M²PC)
Switching Pattern
url https://eprints.nottingham.ac.uk/43817/
https://eprints.nottingham.ac.uk/43817/