Frontiers in Energy Research (Jan 2023)

Composite model predictive control for the boost converter and two-phase interleaved boost converter

  • Muhammad Adnan Samad,
  • Yuanqing Xia,
  • Tayyab Manzoor,
  • Kashif Mehmood,
  • Adeel Saleem,
  • Ahmad H. Milyani,
  • Abdullah Ahmed Azhari

DOI
https://doi.org/10.3389/fenrg.2022.1009812
Journal volume & issue
Vol. 10

Abstract

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This article compares the conventional model predictive control (MPC) and active disturbance rejection control (ADRC) with a novel MPADRC technique for controlling a non-minimum phase behavior in the DC–DC boost converter. The control of the boost converter is challenging as it is nonlinear, and it shows non-minimum phase behavior in a continuous conduction mode (CCM). Moreover, in this article, the comparison is presented for the boost converter and the two-phase interleaved boost converter using MPC and ADRC, and the effectiveness of the interleaving technique is shown. Finally, it is proved that the interleaving method has much more efficiency and less output ripple than the simple boost converter. To conclude, a novel technique has been introduced that combines both the techniques, that is, MPC and ADRC, in the outer and inner loop with a boost converter, respectively, and the response is clearly the best when compared to the said techniques individually. The overall impact of this technique includes the advantages of both the techniques, that is, the use of MPC allows us to optimize the current value by predicting the future values, and the use of ADRC ensures that the disturbance factor is well tackled and cancels the effect caused by all the disturbances including ignored quantities as well.

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