On modeling and real-time simulation of a robust adaptive controller applied to a multicellular power converter

Authors

DOI:

https://doi.org/10.20998/2074-272X.2022.6.08

Keywords:

multicellular converters, sliding mode control, high switching frequency, hysteresis modulation

Abstract

Introduction. This paper describes the simulation and the robustness assessment of a DC-DC power converter designed to interface a dual-battery conversion system. The adopted converter is a Buck unidirectional and non-isolated converter, composed of three cells interconnected in parallel and operating in continuous conduction mode. Purpose. In order to address the growing challenges of high switching frequencies, a more stable, efficient, and fixed-frequency-operating power system is desired. Originality. Conventional sliding mode controller suffers from high-frequency oscillation caused by practical limitations of system components and switching frequency variation. So, we have explored a soft-switching technology to deal with interface problems and switching losses, and we developed a procedure to choose the high-pass filter parameters in a sliding mode-controlled multicell converter. Methods. We suggest that the sliding mode is controlled by hysteresis bands as the excesses of the band. This delay in state exchanges gives a signal to control the switching frequency of the converter, which, in turn, produces a controlled trajectory. We are seeking an adaptive current control solution to address this issue and adapt a variable-bandwidth of the hysteresis modulation to mitigate nonlinearity in conventional sliding mode control, which struggles to set the switching frequency. Chatter problems are therefore avoided. A boundary layer-based control scheme allows multicell converters to operate with a fixed-switching-frequency. Practical value. Simulation studies in the MATLAB / Simulink environment are performed to analyze system performance and assess its robustness and stability. Thus, our converter is more efficient and able to cope with parametric variation.

Author Biographies

R. Hamdi, University of Biskra

PhD, LMSE Laboratory

A. Hadri Hamida, University of Biskra

Professor, LMSE Laboratory

O. Bennis, University of Orleans

Professor, PRISME Institute

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Published

2022-11-07

How to Cite

Hamdi, R., Hadri Hamida, A., & Bennis, O. (2022). On modeling and real-time simulation of a robust adaptive controller applied to a multicellular power converter. Electrical Engineering & Electromechanics, (6), 48–52. https://doi.org/10.20998/2074-272X.2022.6.08

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Section

Power Stations, Grids and Systems