Predictive Control Strategies in Power Converters

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

Abstract

Model-based predictive control (MPC) is an attractive solution for controlling power converters. In this article the most recent investigations related to predictive control are addressed and the solutions proposed by the researchers are shown, illustrating also the effectiveness and flexibility of this control technique. In addition, the classification of the most important types of predictive control is introduced and each of them is explained, including some application examples. Predictive control has several advantages that make it suitable for the control of power converters and drives.

Citation

Perez-Guzman, R. E., Rivera, M., & Wheeler, P. W. (2019). Predictive Control Strategies in Power Converters. In IEEE Chilean Conference on Electrical, Electronics Engineering, Information and Communication Technologies ( 1-6). https://doi.org/10.1109/CHILECON47746.2019.8987539

• Presentation Conference Type: Edited Proceedings
• Conference Name: 2019 IEEE Chilean Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON)
• Start Date: Nov 13, 2019
• End Date: Nov 27, 2019
• Acceptance Date: Sep 8, 2019
• Online Publication Date: Feb 10, 2020
• Publication Date: 2019-11
• Deposit Date: Mar 26, 2020
• Publicly Available Date: Mar 27, 2020
• Pages: 1-6
• Book Title: IEEE Chilean Conference on Electrical, Electronics Engineering, Information and Communication Technologies
• ISBN: 978-1-7281-3186-3
• DOI: https://doi.org/10.1109/CHILECON47746.2019.8987539
• Keywords: Power converters , Model predictive control , Power electronics
• Public URL: https://nottingham-repository.worktribe.com/output/4205652
• Publisher URL: https://ieeexplore.ieee.org/document/8987539
• 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.