Over-modulation Method of Modulated Model Predictive Control for Matrix Converters

Sarajian, Ali; Guan, Quanxue; Wheeler, Patrick; Khaburi, Davood Arab; Kennel, Ralph; Rodriquez, Jose

Abstract

In this paper the potential of the modulated model predictive control (MMPC) to control a matrix converter (MC) in the linear- and over-modulation zone is investigated. Input and output current references of MC are usually used to define the control objective in MMPC. By considering the predicted input and output currents of MC, a conventional space current vector modulation equation can be formed. As a result, control of the load and supply currents, good steady state performance and fixed switching frequency are achieved in the linear zone. Moreover, the transition time between the linear- and over-modulation modes is minimized by considering a new reference vector through a simple calculation. The feasibility of proposed method is demonstrated by simulation results and proved that the resulted controller includes the advantages of model predictive control (MPC) and space vector modulation (SVM) and effectively working in the different modes of operation.

Citation

Sarajian, A., Guan, Q., Wheeler, P., Khaburi, D. A., Kennel, R., & Rodriquez, J. (2020). Over-modulation Method of Modulated Model Predictive Control for Matrix Converters. In IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society (4624-4629). https://doi.org/10.1109/IECON43393.2020.9254373

• Presentation Conference Type: Edited Proceedings
• Conference Name: IECON 2020 - 46th Annual Conference of the IEEE Industrial Electronics Society
• Start Date: Oct 18, 2020
• End Date: Oct 21, 2020
• Acceptance Date: Oct 18, 2020
• Online Publication Date: Nov 18, 2020
• Publication Date: Oct 18, 2020
• Deposit Date: Jun 14, 2024
• Publisher: Institute of Electrical and Electronics Engineers
• Pages: 4624-4629
• Series ISSN: 2577-1647
• Book Title: IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society
• ISBN: 978-1-7281-5415-2
• DOI: https://doi.org/10.1109/IECON43393.2020.9254373
• Public URL: https://nottingham-repository.worktribe.com/output/35447118
• Publisher URL: https://ieeexplore.ieee.org/document/9254373