FCS–MPC with Nonlinear Control Applied to a Multicell AFE Rectifier

Espinosa, Eduardo; Espinoza, José; Melín, Pedro; Rohten, Jaime; Rivera, Marco; Muñoz, Javier

Abstract

The use of controlled power converters has been extended for high power applications, stacking off-the-shelve semiconductors, and allowing the implementation of, among others, AC drives for medium voltages of 2.3 kV to 13.8 kV. For AC drives based on power cells assembled with three-phase diode rectifiers and cascaded H-bridge inverters, a sophisticated input multipulse transformer is required to reduce the grid voltage, provide isolation among the power cells, and compensate for low-frequency current harmonics generated by the diode-based rectifiers. However, this input multipulse transformer is bulky, heavy, and expensive and must be designed according to the number of power cells, not allowing total modularity of the AC drives based on cascade Hbridges. This study proposes and evaluates a control strategy based on a finite control set-model predictive control that emulates the harmonic cancellation performed by an input multipulse transformer in a cascade H-bridge topology. Hence, the proposed method requires conventional input transformers and replaces the three-phase diode rectifiers. As a result, greater modularity than the conventional multicell converter and improved AC overall input current with a THD as low as 2% with a unitary displacement power factor are achieved. In this case, each power cell manages its own DC voltage using a nonlinear control strategy, ensuring stable system operation for passive and regenerative loads. The experimental tests demonstrated the correct performance of the proposed scheme.

Citation

Espinosa, E., Espinoza, J., Melín, P., Rohten, J., Rivera, M., & Muñoz, J. (2022). FCS–MPC with Nonlinear Control Applied to a Multicell AFE Rectifier. Sensors, 22(11), Article 4100. https://doi.org/10.3390/s22114100

• Journal Article Type: Article
• Acceptance Date: May 26, 2022
• Online Publication Date: May 28, 2022
• Publication Date: Jun 1, 2022
• Deposit Date: Jan 22, 2025
• Publicly Available Date: Feb 5, 2025
• Journal: Sensors
• Electronic ISSN: 1424-8220
• Publisher: MDPI
• Peer Reviewed: Peer Reviewed
• Volume: 22
• Issue: 11
• Article Number: 4100
• DOI: https://doi.org/10.3390/s22114100
• Keywords: Electrical and Electronic Engineering; Biochemistry; Instrumentation; Atomic and Molecular Physics, and Optics; Analytical Chemistry
• Public URL: https://nottingham-repository.worktribe.com/output/23864835
• Publisher URL: https://www.mdpi.com/1424-8220/22/11/4100