报告详情
Model-Free Predictive Control of Grid-Forming Inverters Based on RLS-DCD Algorithm
编号：84
访问权限：仅限参会人
更新：2025-05-06 15:08:20 浏览：8次
口头报告
报告开始：暂无开始时间（Asia/Shanghai）
报告时间：暂无持续时间
所在会场：[暂无会议] [暂无会议段]
暂无文件
摘要
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.
关键词
grid-forming inverter,model free-predictive control,recursive least square-dichotomous coordinate descent,computational complexity
报告人
Li Yang
master's student North China Electric Power University稿件作者
全部评论
重要日期
-
会议日期
06月05日
2025
至06月08日
2025
-
04月30日 2025
初稿截稿日期
主办单位
IEEE PELS
IEEE
IEEE
承办单位
Southeast University
联系方式
- Quanwei Wu
- pr******@pub.seu.edu.cn
发表评论