Voltage-noise-tolerated model-free predictive control for LC-filtered voltage source inverters

Zheng Yin, Fujin Deng*, Sahar S. Kaddah, Abdelhady Ghanem, Sayed Abulanwar, Sergio Vazquez

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

Parameter mismatch in LC-filtered voltage source inverters (VSIs) can affect the capacitor voltage performance under conventional model predictive control with optimal switching sequence (MPC-OSS), including prediction error and total harmonic distortions (THDs). To improve the parameter robustness of the conventional MPC-OSS, this article proposes a voltage-noise-tolerated model-free predictive control with OSS (VNT-MFPC-OSS) strategy for LC-filtered VSIs, where the proposed VNT-MFPC-OSS not only establishes and updates the data model of LC-filtered VSIs but also suppresses the effect of voltage noise in the VSI by using the noise tolerance coefficient. The proposed VNT-MFPC-OSS effectively eliminates parametric effect on conventional MPC-OSS and suppresses voltage noise effect on MFPC with OSS (MFPC-OSS). The experimental prototype of LC-filtered VSIs is built to validate the feasibility and superiority of the proposed VNT-MFPC-OSS.

Original languageEnglish
Pages (from-to)5048-5059
Number of pages12
JournalIEEE Journal of Emerging and Selected Topics in Power Electronics
Volume13
Issue number4
Early online date12 May 2025
DOIs
Publication statusPublished - 1 Aug 2025

Funding

This work was supported in part by the National Key Research and Development Program of China under Grant 2022YFE0196300; and in part by the Science, Technology and Innovation Funding Authority (STDF), under Grant 46505. The work of Sergio Vazquez was supported by the Project PID2023- 152292OB-I00 funded by MCIN/AEI/10.13039/501100011033 and by “ERDF/EU.”

Keywords

  • LC-filter
  • model-free predictive control (MFPC)
  • noise suppression
  • parameter robustness
  • voltage source inverters (VSIs)

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