Jiaxing Lei
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
Authors
Luca Tariscotti
Dr ANDREW TRENTIN andrew.trentin@nottingham.ac.uk
Senior Application Engineers in n Industrialisation of Electrical Machines and Drives
Pericle Zanchetta
Professor PATRICK WHEELER pat.wheeler@nottingham.ac.uk
PROFESSOR OF POWER ELECTRONIC SYSTEMS
Andrea Formentini
Abstract
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.
Citation
Lei, J., Tariscotti, L., Trentin, A., Zanchetta, P., Wheeler, P., & Formentini, A. Fixed frequency finite-state model predictive control for indirect matrix converters with optimal switching pattern. Presented at 2016 IEEE Energy Conversion Congress and Exposition (ECCE)
Conference Name | 2016 IEEE Energy Conversion Congress and Exposition (ECCE) |
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End Date | Sep 22, 2016 |
Acceptance Date | May 1, 2016 |
Online Publication Date | Feb 16, 2017 |
Publication Date | Sep 20, 2016 |
Deposit Date | Jun 29, 2017 |
Publicly Available Date | Jun 29, 2017 |
Peer Reviewed | Peer Reviewed |
Keywords | Indirect Matrix Converter (IMC), Modulated Model Predictive Control (M²PC), Switching Pattern |
Public URL | https://nottingham-repository.worktribe.com/output/816783 |
Publisher URL | http://ieeexplore.ieee.org/abstract/document/7855118/ |
Related Public URLs | http://www.ieee-ecce.org/2016/ |
Additional Information | Published in: ECCE 2016 : IEEE Energy Conversion Congress & Expo : proceedings : Milwaukee, WI, Sept. 18-22. Piscataway, N.J. : IEEE, 2016. ISBN: 978-1-5090-0737-0. doi:10.1109/ECCE.2016.7855118 © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Contract Date | Jun 29, 2017 |
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