Current Sensorless Model Predictive Control of Matrix Converter With Zero Common-Mode Voltage

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

Abstract

To eliminate the common-mode voltage (CMV) for matrix converters, this paper proposes a current sensorless model predictive control with reduced calculation overhead. In contrast to other traditional CMV-reducing methods which use all permissible switching configurations, this method synthesizes the output voltage and the input current with only six rotating vectors that lead to zero CMV. The proposed technique does not need to predict future load currents and source currents for those six rotating vectors, which provides another advantage in term of computation efficiency. Additionally, all current sensors are removed by using a Luenberger state observer instead in the control loop for cost reduction. The effectiveness of the proposed method is evaluated through simulation in different operation conditions.

Citation

Sarajian, A., Guan, Q., Wheeler, P., Khaburi, D. A., Kennel, R., & Rodriquez, J. (2022). Current Sensorless Model Predictive Control of Matrix Converter With Zero Common-Mode Voltage. In 48th Annual Conference of the IEEE Industrial Electronics Society (IECON 2022). https://doi.org/10.1109/iecon49645.2022.9968351

• Conference Name: IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society
• Conference Location: Brussels, Belgium
• Start Date: Oct 17, 2022
• End Date: Oct 20, 2022
• Acceptance Date: Jul 10, 2022
• Online Publication Date: Oct 17, 2022
• Publication Date: Oct 17, 2022
• Deposit Date: Sep 5, 2022
• Publicly Available Date: Oct 17, 2022
• Publisher: Institute of Electrical and Electronics Engineers
• Series Title: Annual Conference of the IEEE Industrial Electronics Society
• Series ISSN: 1553-572X
• Book Title: 48th Annual Conference of the IEEE Industrial Electronics Society (IECON 2022)
• ISBN: 9781665480260
• DOI: https://doi.org/10.1109/iecon49645.2022.9968351
• Public URL: https://nottingham-repository.worktribe.com/output/10908696
• Publisher URL: https://ieeexplore.ieee.org/document/9968351
• Related Public URLs: https://iecon2022.org/