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<p>In installations powered by renewable energy, the dynamic nature of these sources demands a robust controller to ensure stability over a wide range of operating conditions. This study proposes a novel nonlinear Lyapunov-based controller for output voltage stabilization of a DC–DC converter in a solar-powered DC nanogrid. The controller is designed on the basis of an extensive mathematical model of the converter considering all the internal voltage drops due to parasitic circuit elements. The control action is governed by the change in stored energy within the converter elements, and it guarantees global asymptotic stability owing to its Lyapunov foundation. The controller coefficients are tuned to their optimized values via particle swarm optimization. The proposed controller is verified by simulation in MATLAB/Simulink<sup>®</sup> and validated via hardware implementation in a 300 W, 48 to 72&#xa0;V interleaved boost converter. The effectiveness of the proposed controller is verified by comparing it with other existing controllers in the literature, which reveals superior performance with significant improvement in the transient response.</p>

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Lyapunov function based optimized controller for voltage stabilization of a DC–DC converter in a solar-powered DC nanogrid

  • 期刊论文

  • 发表日期：

    2025年2月12日

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  • Frieda Mohan,
  • Nikhil Sasidharan

摘要

In installations powered by renewable energy, the dynamic nature of these sources demands a robust controller to ensure stability over a wide range of operating conditions. This study proposes a novel nonlinear Lyapunov-based controller for output voltage stabilization of a DC–DC converter in a solar-powered DC nanogrid. The controller is designed on the basis of an extensive mathematical model of the converter considering all the internal voltage drops due to parasitic circuit elements. The control action is governed by the change in stored energy within the converter elements, and it guarantees global asymptotic stability owing to its Lyapunov foundation. The controller coefficients are tuned to their optimized values via particle swarm optimization. The proposed controller is verified by simulation in MATLAB/Simulink® and validated via hardware implementation in a 300 W, 48 to 72 V interleaved boost converter. The effectiveness of the proposed controller is verified by comparing it with other existing controllers in the literature, which reveals superior performance with significant improvement in the transient response.