Indirect predictive control strategy with mitigation of input filter resonances for a direct matrix converter

Rivera, Marco; Di, Z.; Zhang, Jiawei; Wheeler, Patrick

Abstract

In this paper an indirect model predictive current control strategy is proposed. The proposed method simplifies the computational cost while avoiding the use of weighting factors. Weighting factors are an issue for model predictive control in a direct matrix converter due to the large number of available switching states and necessity to control both input and output sides of the converter.

Citation

Rivera, M., Di, Z., Zhang, J., & Wheeler, P. Indirect predictive control strategy with mitigation of input filter resonances for a direct matrix converter. Presented at 2017 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON)

• Conference Name: 2017 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON)
• End Date: Oct 20, 2017
• Acceptance Date: Aug 21, 2017
• Online Publication Date: Dec 21, 2017
• Publication Date: Oct 20, 2017
• Deposit Date: Apr 24, 2018
• Publicly Available Date: Apr 24, 2018
• Peer Reviewed: Peer Reviewed
• Keywords: Active damping; Current control; Matrix converters; R; edictive control; Finite control set model predictive control; Fictitious dc-link
• Public URL: https://nottingham-repository.worktribe.com/output/888876
• Publisher URL: https://ieeexplore.ieee.org/document/8229699/
• Related Public URLs: http://chilecon2017.ubiobio.cl/
• 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