Forecasting Stability in Super-Lift Converters Utilizing Averaging Technique

Authors

  • Chamundeeswari V., Niraimathi R., Neraimathi S., Madhumitha S.

Keywords:

DC-DC Converters, State-Space Modelling, DC Analysis, AC Analysis, Duty Cycle, Transfer Function, Stability Inference.

Abstract

This work presents a thorough investigation into DC-DC converters, employing a state-space modelling approach for a comprehensive analysis. The study initiates with the establishment of a dynamic state-space representation, capturing the converters' behaviour under varying operational conditions. To understand steady-state features and transient responses, a comprehensive DC analysis is performed. Utilizing small-signal linearization techniques, the AC analysis leads to the derivation of the transfer function, revealing the system's frequency-dependent dynamics. The paper concludes with a meticulous stability assessment, employing established criteria to gauge the robustness of the DC-DC converters under diverse operating scenarios.

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References

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Published

12.06.2024

How to Cite

Chamundeeswari V. (2024). Forecasting Stability in Super-Lift Converters Utilizing Averaging Technique. International Journal of Intelligent Systems and Applications in Engineering, 12(4), 1059 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/6349

Issue

Vol. 12 No. 4 (2024)

Section

Research Article

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