Indirect model predictive current control techniques for a direct matrix converter

Rivera, Marco; Nasir, Usman; Tarisciotti, Luca; Wheeler, Patrick

Abstract

The direct matrix converter has twenty-seven available switching states which implies that the implementation of predictive control techniques in this converter requires high computational cost while an adequate selection of weighting factors in order to control both input and output sides of the converter. In this paper, two indirect model predictive current control strategies are proposed in order to simplify the computational cost while avoiding the use of weighting factors. Both methods are based on the fictitious dc-link concept, which has been used in the past for the classical modulation and control techniques of the direct matrix converter. Simulated results confirm the feasibility of the proposed techniques demonstrating that they are an alternative to classical predictive control strategies for the direct matrix converter.

Citation

Rivera, M., Nasir, U., Tarisciotti, L., & Wheeler, P. Indirect model predictive current control techniques for a direct matrix converter. Presented at IEEE-URUCON 2017

• Conference Name: IEEE-URUCON 2017
• End Date: Oct 25, 2017
• Acceptance Date: Sep 6, 2017
• Online Publication Date: Dec 11, 2017
• Publication Date: Oct 24, 2017
• Deposit Date: Apr 24, 2018
• Publicly Available Date: Apr 24, 2018
• Peer Reviewed: Peer Reviewed
• Keywords: Current control; Matrix converters; Predictive; control; Finite control set model predictive control; Fictitious dclink
• Public URL: https://nottingham-repository.worktribe.com/output/889557
• Publisher URL: https://ieeexplore.ieee.org/document/8171896/
• Related Public URLs: http://sites.ieee.org/urucon/
• Additional Information: © 2017 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: Apr 24, 2018