Predictive Current Control Applied to a 3L-NPC Inverter

Rojas, Diego; Rivera, Marco; Munoz, Javier; Baier, Carlos; Wheeler, Patrick

Abstract

In recent years the application of Model Based Predictive Control (MPC) for power converters has been successfully presented as an alternative to traditional control techniques. MPC has attracted interest due to its fast dynamic response and the ability to incorporate various control requirements in a cost function. This work describes the fundamental aspects of the MPC, from its principle of operation to its application to control in multilevel power converters. The application of MPC technique for the control of a three-level neutral point clamped inverter (3L-NPC) will be analysed for current control in a three-phase load, the balance in the capacitors link DC, and the associated dynamic response. The MPC method is analysed and simulation results from a Matlab/Simulink model with different sampling times are presented.

Citation

Rojas, D., Rivera, M., Munoz, J., Baier, C., & Wheeler, P. (2021, March). Predictive Current Control Applied to a 3L-NPC Inverter. Presented at 2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA), Valparaíso, Chile

• Presentation Conference Type: Edited Proceedings
• Conference Name: 2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA)
• Start Date: Mar 22, 2021
• End Date: Mar 26, 2021
• Acceptance Date: Jan 25, 2021
• Online Publication Date: Jul 1, 2021
• Publication Date: Mar 22, 2021
• Deposit Date: Oct 29, 2021
• Publicly Available Date: Oct 29, 2021
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Pages: 568-574
• Book Title: 2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA)
• ISBN: 9781665429788
• DOI: https://doi.org/10.1109/icaacca51523.2021.9465309
• Public URL: https://nottingham-repository.worktribe.com/output/6543522
• Publisher URL: https://ieeexplore.ieee.org/document/9465309
• Additional Information: © 2021 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.