Model-based Predictive Control in Three-Phase Inverters

Perez-Guzman, Ricardo Enrique; Rivera, Marco; Vicencio, Nicolas; Wheeler, Patrick W.

Abstract

In the last year model predictive control strategy has emerged as a good alternative for the control of power converters. This research proposes a new model-based predictive control strategy for a voltage source inverter, operating at variable and fixed switching frequency, with the objective of comparing the performance of the control algorithm and the output variables. The experimental results show the benefits of predictive control and the superiority of fixed frequency control strategies instead of the variable switching frequency. Based on the total harmonic distortion (THD) and the absolute error, we can prove that better results are obtained by forcing the converter to commutate at fixed frequency.

Citation

Perez-Guzman, R. E., Rivera, M., Vicencio, N., & Wheeler, P. W. (2020, February). Model-based Predictive Control in Three-Phase Inverters. Presented at 2020 IEEE International Conference on Industrial Technology (ICIT), Buenos Aires, Argentina

• Presentation Conference Type: Edited Proceedings
• Conference Name: 2020 IEEE International Conference on Industrial Technology (ICIT)
• Start Date: Feb 26, 2020
• End Date: Feb 28, 2020
• Acceptance Date: Nov 15, 2019
• Online Publication Date: Apr 16, 2020
• Publication Date: 2020-02
• Deposit Date: Jul 29, 2020
• Publicly Available Date: Jul 31, 2020
• Publisher: Institute of Electrical and Electronics Engineers
• Pages: 499-504
• Series ISSN: 2643-2978
• Book Title: Proceedings: 2020 IEEE International Conferenceon Industrial Technology
• ISBN: 978-1-7281-5755-9
• DOI: https://doi.org/10.1109/ICIT45562.2020.9067217
• Public URL: https://nottingham-repository.worktribe.com/output/4795279
• Publisher URL: https://ieeexplore.ieee.org/xpl/conhome/9047988/proceeding
• Additional Information: © 2020 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.