Synergetic Control Design to Controlled PWM Buck Power Converter

The purpose of this study is to examine the reduction of errors in a switched Buck power converter (SBPC) with undetermined characteristics through the application of a Pulse Width Modulation (PWM) technique. In order to ensure the asymptotic stability of the closed-loop error continuous model, even in the presence of uncertain parameters in the switching Buck power converter, a control strategy is devised using the Synergetic Control (SC) methodology. In order to guarantee that the closedloop tracking error of the system remains asymptotically stable and converges to a numerically small value near the origin, the recommended PWM-based sliding mode (SMC) is implemented. This paper provides simulation data to illustrate the efficacy of the proposed control mechanism.

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Published
2024-11-20
DOI
https://doi.org/10.1109/icetas62372.2024.11120258
Citations
1
Primary Topic
Electric and Hybrid Vehicle Technologies
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article
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Synergetic Control Design to Controlled PWM Buck Power Converter

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Synergetic Control Design to Controlled PWM Buck Power Converter

Amjad J. Humaidi, Mohammed Majid Msallam, Ekhlas Kadhum Hamza, Noaman M. Noaman, Ammar K. Al Mhdawi, Suha S. Husain, Abdulkareem Sh. Mahdi Al-Obaidi, Husham M. Ahmed, Hasanain Maytham Jasim
article en
1 citations

Abstract

The purpose of this study is to examine the reduction of errors in a switched Buck power converter (SBPC) with undetermined characteristics through the application of a Pulse Width Modulation (PWM) technique. In order to ensure the asymptotic stability of the closed-loop error continuous model, even in the presence of uncertain parameters in the switching Buck power converter, a control strategy is devised using the Synergetic Control (SC) methodology. In order to guarantee that the closedloop tracking error of the system remains asymptotically stable and converges to a numerically small value near the origin, the recommended PWM-based sliding mode (SMC) is implemented. This paper provides simulation data to illustrate the efficacy of the proposed control mechanism.

University of Technology - Iraq (IQ), Taylor's University (MY), De Montfort University (GB), University College of Bahrain (BH)
Affordable and clean energy
Openalex Percentile: Top 45%
Electric and Hybrid Vehicle Technologies
0.20
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