Generalized Predictive Control for a Single-Phase, Three-Level Voltage Source Inverter

Diego Naunay (), Paul Ayala, Josue Andino, Wilmar Martinez and Diego Arcos-Aviles ()
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Diego Naunay: Departamento de Ciencias Exáctas, Universidad de las Fuerzas Armadas ESPE, Sangolquí P.O. Box 171-5-231B, Ecuador
Paul Ayala: Departamento de Eléctrica, Electrónica y Telecomunicaciones, Universidad de las Fuerzas Armadas ESPE, Sangolquí P.O. Box 171-5-231B, Ecuador
Josue Andino: Unidad de Sistemas Eléctricos, IMDEA Energía, Avda. Ramón de la Sagra, 3 Parque Tecnológico de Móstoles, 28935 Móstoles, Spain
Wilmar Martinez: Department of Electrical Engineering, ESAT, KU Leuven-EnergyVille, 3590 Diepenbeek, Belgium
Diego Arcos-Aviles: Departamento de Eléctrica, Electrónica y Telecomunicaciones, Universidad de las Fuerzas Armadas ESPE, Sangolquí P.O. Box 171-5-231B, Ecuador

Energies, 2025, vol. 18, issue 10, 1-19

Abstract: In recent years, the study of model predictive control (MPC) in power electronics has gained significant attention due to its ability to optimize system performance and improve the dynamic control of complex power converters. There are two types of MPC: finite control set (FCS) and continuous control set (CCS). The FCS–MPC has been studied more in regard to these two types of control due to its easy and intuitive implementation. However, FCS–MPC has some drawbacks, such as the exponential growth of the computational burden as the prediction horizon increases and, in some cases, a variable frequency. In contrast, generalized predictive control (GPC), part of CCS–MPC, offers significant advantages. It enables the use of a longer prediction horizon without increasing the computational burden in regard to its implementation, which has practical implications for the efficiency and performance of power converters. This paper presents the design of GPC applied to single-phase multilevel voltage source inverters, highlighting its advantages over FCS–MPC. The controller is optimized offline, significantly reducing the computational cost of implementation. Moreover, the controller is tested in regard to R, RL, and nonlinear loads. Finally, the validation results using a medium-performance controller and a Hardware-in-the-Loop device highlight the improved behavior of the proposed GPC, maintaining a harmonic distortion of less than 1.2% for R and RL loads.

Keywords: generalized predictive control; voltage source inverter; single-phase inverter (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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