Stability-Oriented Prediction Horizons Design of Generalized Predictive Control for DC/DC Boost Converter
<|reference_start|>Stability-Oriented Prediction Horizons Design of Generalized Predictive Control for DC/DC Boost Converter: This paper introduces a novel approach in designing prediction horizons on a generalized predictive control for a DC/DC boost converter. This method involves constructing a closed-loop system model and assessing the impact of different prediction horizons on system stability. In contrast to conventional design approaches that often rely on empirical prediction horizon selection or incorporate non-linear observers, the proposed method establishes a rigorous boundary for the prediction horizon to ensure system stability. This approach facilitates the selection of an appropriate prediction horizon while avoiding excessively short horizons that can lead to instability and preventing the adoption of unnecessarily long horizons that would burden the controller with high computational demands. Finally, the accuracy of the design method has been confirmed through experimental testing. Moreover, it has been demonstrated that the prediction horizon determined by this method reduces the computational burden by 10\%-20\% compared to the empirically selected prediction horizon.<|reference_end|>
@article{li2024stability-oriented,
    title={Stability-Oriented Prediction Horizons Design of Generalized Predictive
  Control for DC/DC Boost Converter},
    author={Yuan Li, Subham Sahoo, Sergio Vazquez, Yichao Zhang, Tomislav
  Dragicevic, Frede Blaabjerg},
    journal={arXiv preprint arXiv:2404.16391},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.16391},
    primaryClass={eess.SY cs.SY}
}