Adaptive models of the four-switch buck-boost converter

Authors

DOI:

https://doi.org/10.15588/1607-6761-2025-2-5

Keywords:

FSBB converter, ECAD programs, Switching models, programmable behavioral elements, model quality indicators

Abstract

Purpose. Development of an economic adaptive model for the power stage of a four-switches buck-boost converter (FSBB) together with a control system that adequately simulates all modes of its operation.

Methodology. The main research method is mathematical modeling; empirical formulas are used to calculate the model parameters; a behavioral programming approach is used for the structural synthesis of the converter model.

Findings. The prospects for using a FSBB converter in energy conversion systems where the input and output voltages vary relative to each other are shown. The advantages of using computer-aided design (ECAD) programs for modeling converters together with control systems as multi-domain systems are identified. Approaches to modeling converters together with control systems are analyzed and limitations of using models based on "state space averaging" for studying electromagnetic characteristics and temperature management in the power stage of the converter are indicated.

A method for forming a dynamic FSBB model for ECAD program Micro-Cap 12 based on simulating the behavior of power switches over time and replacing them with programmable resistors is proposed. To control the rigidity of the model and accelerate the simulation, optimal values of the resistances of these resistors are obtained. A converter model was developed for the PSIM program too and a comparative analysis of modeling and simulation quality indicators in the Micro-Cap and PSIM programs was conducted. Recommendations for the fields of use of the developed models have been formed.

Originality. The scientific novelty of the work lies in the way of presenting an economical Spice-compatible dynamic model of FSBB, in which the power stage and the control system are integrated through the use of behavioral models for power switches. In these behavioral elements, the switching conditions are programmed by comparing the carrier signal with the reference of the PWM control subsystem; both signals are normalized and the reference is proportional to the duty cycle. By dynamically redefining the duty cycle parameter, the model is adapted for any converter mode (buck, boost, and transition), which makes it universal. A simple converter model was also developed together with a control system for the PSIM program, which makes it possible not only to analyze electromagnetic characteristics, but also to import to SmartControl the necessary transfer functions for optimal controller synthesis.

Practical value. The proposed models allow analyzing dynamic processes in the FSBB converter, optimally combining such contradictory indicators of simulation quality as accuracy and efficiency. The model for Micro-Cap allows to adequately simulate the transient processes of the power stage of the converter, since it is obtained without prior linearization and averaging, in addition, it can be supplemented with temperature coefficients, this option is absent for the PSIM model. The PSIM model makes it possible to obtain a transfer function for the synthesis of the control system.

Author Biographies

O.V. Vasylenko, Zaporizhzhia Polytechnic National University

Ph.D, Associate professor, Associate professor of the department of information security and nanoelectronics, National University “Zaporizhzhia Polytechnic”, Zaporizhzhia

G.V. Snizhnoi, Zaporizhzhia Polytechnic National University

Sci.D, Professor, Professor of the department of information security and nanoelectronics, National University “Zaporizhzhia Polytechnic”, Zaporizhzhia

References

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Published

2025-06-14

How to Cite

Vasylenko, O., & Snizhnoi, G. (2025). Adaptive models of the four-switch buck-boost converter. Electrical Engineering and Power Engineering, (2), 49–58. https://doi.org/10.15588/1607-6761-2025-2-5

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Section

Automation and computer-integrated technologies