Very Low Sampling Frequency Model Predictive Control for Power Converters in the Medium and High-Power Range Applications

Jaime A. Rohten, Javier E. Muñoz, Esteban S. Pulido, José J. Silva, Felipe A. Villarroel and José R. Espinoza
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Jaime A. Rohten: Department of Electrical and Electronic Engineering, Universidad del Bío-Bío, Avenida Collao 1202, Concepción 4051381, Chile
Javier E. Muñoz: Department of Electrical Engineering, Universidad de Talca, Camino Los Niches Km. 1, Curicó 3340000, Chile
Esteban S. Pulido: Department of Electrical Engineering, Universidad Técnica Federico Santa María, Avenida España 1680, Valparaíso 2340000, Chile
José J. Silva: Department of Electrical Engineering, Universidad de Concepción, Victor Lamas 1290, Concepción 4070386, Chile
Felipe A. Villarroel: Department of Electrical Engineering, Universidad de Concepción, Victor Lamas 1290, Concepción 4070386, Chile
José R. Espinoza: Department of Electrical Engineering, Universidad de Concepción, Victor Lamas 1290, Concepción 4070386, Chile

Energies, 2021, vol. 14, issue 1, 1-18

Abstract: Several control strategies have been proposed with the aim to get a desired behavior in the power converter variables. The most employed control techniques are linear control, nonlinear control based on linear and nonlinear feedback, and predictive control. The controllers associated with linear and nonlinear algorithms usually have a fixed switching frequency, featuring a defined spectrum given by the pulse width modulation (PWM) or space vector modulation (SVM) time period. On the other hand, finite set model predictive control (FS-MPC) is known to present a variable switching frequency that results too high for high power applications, increasing losses, reducing the switches lifetime and, therefore, limiting its application. This paper proposes a predictive control approach using a very low sampling frequency, allowing the use of predictive control in high power applications. The proposed method is straightforward to understand, is simple to implement, and can be computed with off-the-shelf digital systems. The main advantage of the proposed control algorithm comes from the combination of the model predictive control and the SVM technique, drawing the principal benefits of both methods. The provided experimental results are satisfactory, displaying the nature of space vector-based schemes but at the same time the fast response as expected in predictive control.

Keywords: predictive control; solar power generation; AC-DC power converters; high power applications; low switching frequency (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: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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