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112 / 2025-03-11 13:44:10
Model-Free Predictive Control of Grid-Forming Inverters Based on RLS-DCD Algorithm
grid-forming inverter,model free-predictive control,recursive least square-dichotomous coordinate descent,computational complexity
Review group 5
Final Paper
Li Yang / North China Electric Power University
Yongchang Zhang / North China Electric Power University;School of Electrical and Electronic Engineering
Xing Wang / North China Electric Power University
Bokang Wang / North China Electric Power University
Na Jia / Science and Technology Research Institute, China Three Gorges Corporation
Xiaoyi Zhu / Science and Technology Research Institute, China Three Gorges Corporation
Traditional model predictive control (MPC) is highly reliant on the system’s mathematical model. When there are uncertainties in the model or parameter variations, the control performance is vulnerable to being affected. In view of this, model-free predictive control (MFPC) has gradually become the research focus in this field. Against this backdrop, this paper conducts in-depth research. The system’s mathematical model


is replaced with the auto regressive with extra inputs (ARX) model. This study deeply analyzes the internal reasons for the high computational complexity of the traditional recursive least square (RLS) algorithm during the parameter identification of the ARX model. Furthermore, it innovatively proposes the recursive least square-dichotomous coordinate descent (RLS-DCD) identification algorithm as an advanced solution.The study combines rigorous theoretical analysis with extensive simulations and experimental validation. Results demonstrate that the proposed algorithm reduces computational complexity significantly while maintaining control robustness. It has been successfully applied to the control of GFI, providing a more efficient and reliable solution for the optimization of GFI control strategies.
Important Date

  • Conference Date

    Jun 05

    2025

    to

    Jun 01

    2026

  • May 30 2025

    Draft paper submission deadline

  • Jun 08 2025

    Registration deadline

Sponsored By
China Southeast University
IEEE Power Electronics Society
Jiangsu Association of Automation
Nanjing Section IE Chapter
Organized By
Southeast University
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