RT info:eu-repo/semantics/article
T1 Predictive voltage control in multi-modular matrix converters under load variation and fault scenario
A1 Caballero Morilla, David Domingo
A1 Toledo Gallardo, Sergio Ramón
A1 Maqueda Acuña, Edgar Marcial
A1 Ayala Silva, Magno Elías
A1 Gregor Recalde, Raúl Igmar
A1 Rivera, Marco
A1 Wheeler, Patrick W.
A2 Universidad Nacional de Asunción. Facultad de Ingeniería
AB This paper presents a model predictive control (MPC) strategy to regulate output voltages in a multi-modular matrix converter topology for isolated loads. The converter system harnesses power from a six-phase permanent magnet synchronous generator (PMSG) to deliver sinusoidal voltages to a three-phase load, with LC filters positioned at the output of each MC module within the multi-modular scheme. The proposed MPC approach ensures that the output voltages remain within acceptable ranges of magnitude, phase, and frequency, even under load variations and system faults. This control strategy is particularly suitable for uninterruptible power supply systems, microgrids or other applications where voltage regulation is critical. Experimental studies validate the effectiveness of the control strategy under various load conditions, reference voltage changes, and simulated system fault scenarios. The results highlight the robustness and reliability of the proposed voltage control using the multi-modular matrix converter.
PB Multidisciplinary Digital Publishing Institute
YR 2024
FD 2024-09-19
LK http://hdl.handle.net/20.500.14066/4474
UL http://hdl.handle.net/20.500.14066/4474
LA eng
NO Caballero, D., Toledo, S., Maqueda, E., Ayala, M., Gregor, R., Rivera, M., & Wheeler, P. (2024). Predictive voltage control in multi-modular matrix converters under load variation and fault scenario. Technologies, 12(9), Artículo 170. https://doi.org/10.3390/technologies12090170
NO Correspondence: marco.rivera@nottingham.ac.uk or marcoriv@utalca.cl
NO This article belongs to the Section Information and Communication Technologies.
NO Consejo Nacional de Ciencia y Tecnología
DS MINDS@UW
RD 31-oct-2024