<p>To address the weak dynamic performance of dual active bridge converters in DC microgrid systems, which are susceptible to external perturbations and circuit losses, this paper suggests a model-free non-singular fast terminal sliding mode control strategy that is combined with current stress optimization of adaptive super-twisting sliding mode observe. Initially, the output voltage state-space averaging equation is derived using the transmitted power model to create a novel ultra-local model of the converter. Secondly, a model-free non-singular fast terminal sliding mode controller is developed using a novel ultra-local model. An adaptive super-twisting sliding mode observer is introduced to achieve feed-forward compensation for accurately estimating the unknown part by dynamically adjusting the gain. Ultimately, the converter’s output voltage is regulated by the two shift ratios that are calculated by combining the controller output results with the segmented current stress optimization calculated as <i>D</i><sub>1</sub> to invert the external phase shift angle <i>D</i><sub>2</sub>. The experimental results confirm that the proposed strategy has a dynamic quality that ensures a smaller current stress optimization, reduces the reliance on the precise model of the system, and enhances control accuracy.</p>

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Model-free higher sliding mode control of DAB converter under dual-phase-shift modulation

  • Haijun Tao,
  • Ningzhe Wang,
  • Wei Qian,
  • Zheng Zheng

摘要

To address the weak dynamic performance of dual active bridge converters in DC microgrid systems, which are susceptible to external perturbations and circuit losses, this paper suggests a model-free non-singular fast terminal sliding mode control strategy that is combined with current stress optimization of adaptive super-twisting sliding mode observe. Initially, the output voltage state-space averaging equation is derived using the transmitted power model to create a novel ultra-local model of the converter. Secondly, a model-free non-singular fast terminal sliding mode controller is developed using a novel ultra-local model. An adaptive super-twisting sliding mode observer is introduced to achieve feed-forward compensation for accurately estimating the unknown part by dynamically adjusting the gain. Ultimately, the converter’s output voltage is regulated by the two shift ratios that are calculated by combining the controller output results with the segmented current stress optimization calculated as D1 to invert the external phase shift angle D2. The experimental results confirm that the proposed strategy has a dynamic quality that ensures a smaller current stress optimization, reduces the reliance on the precise model of the system, and enhances control accuracy.