Model Predictive Control for Isolated DC/DC Power Converters with Transformer Peak Current Shaving

Chen, Linglin; Tarisciotti, Luca; Costabeber, Alessandro; Wheeler, Pat; Zanchetta, Pericle

Abstract

In this paper a Model Predictive Control, suitable for isolated DC/DC power converters and featuring optimization on converter operations, is proposed. The control is designed based on a specific a current-fed DC/DC converter topology, named Active-Bridge-Active-Clamp converter. This topology is particularly suitable for batteries interface, utilizing its interleaved structure in order to achieve an effective current ripple cancellation at the low voltage terminals. However, the increased complexity of the ABAC converter requires a specific modulation implementation and a detailed converter modeling. For such reasons, the operating principle of the ABAC converter is firstly introduced and mathematical models of the ABAC are developed in this paper. Subsequently, a Model Predictive Control is proposed and implemented aiming to achieve terminal current regulation, improve dynamic performance and reduce current stress in a wide DC voltage operating range, whilst maintaining a fixed switching frequency and a reduced prediction horizon. Simulation results for a 10kW ABAC converter are provided to validate the theoretical claims

Citation

Chen, L., Tarisciotti, L., Costabeber, A., Wheeler, P., & Zanchetta, P. (2018, September). Model Predictive Control for Isolated DC/DC Power Converters with Transformer Peak Current Shaving. Presented at 2018 IEEE Energy Conversion Congress and Exposition (ECCE), Portland, OR

• Presentation Conference Type: Edited Proceedings
• Conference Name: 2018 IEEE Energy Conversion Congress and Exposition (ECCE)
• Start Date: Sep 23, 2018
• End Date: Sep 27, 2018
• Acceptance Date: Apr 12, 2018
• Online Publication Date: Dec 6, 2018
• Publication Date: Dec 6, 2018
• Deposit Date: Feb 14, 2019
• Publicly Available Date: Feb 15, 2019
• Publisher: Institute of Electrical and Electronics Engineers
• Pages: 5954-5960
• Series Title: IEEE Energy Conversion Congress and Exposition (ECCE)
• Series ISSN: 2329-3721
• Book Title: 2018 IEEE Energy Conversion Congress and Exposition (ECCE)
• ISBN: 9781479973132
• DOI: https://doi.org/10.1109/ECCE.2018.8558301
• Public URL: https://nottingham-repository.worktribe.com/output/1550506
• Publisher URL: https://ieeexplore.ieee.org/document/8558301
• Additional Information: © 2018 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: Feb 14, 2019