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Main Authors: Gao, Xueqing, Zhang, Jun, Li, Tao, Zhang, Mingming
Format: Preprint
Published: 2026
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Online Access:https://arxiv.org/abs/2601.16418
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author Gao, Xueqing
Zhang, Jun
Li, Tao
Zhang, Mingming
author_facet Gao, Xueqing
Zhang, Jun
Li, Tao
Zhang, Mingming
contents This paper investigates the design and analysis of a novel grid-forming (GFM) control method for grid-connected converters (GCCs). The core novelty lies in a virtual flux observer-based synchronization and load angle control method. The terminal voltage of the converter is directly regulated to provide voltage-source behavior. The control parameters are designed for decoupling and pole placement. The proposed method exhibits strong robustness in stability and dynamical performance across varying and uncertain grid strengths. The robust control performance of the proposed method is first demonstrated by small-signal analysis, then validated by experiments on a 20 kVA power conversion system.
format Preprint
id arxiv_https___arxiv_org_abs_2601_16418
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Robust Grid-Forming Control Based on Virtual Flux Observer
Gao, Xueqing
Zhang, Jun
Li, Tao
Zhang, Mingming
Systems and Control
This paper investigates the design and analysis of a novel grid-forming (GFM) control method for grid-connected converters (GCCs). The core novelty lies in a virtual flux observer-based synchronization and load angle control method. The terminal voltage of the converter is directly regulated to provide voltage-source behavior. The control parameters are designed for decoupling and pole placement. The proposed method exhibits strong robustness in stability and dynamical performance across varying and uncertain grid strengths. The robust control performance of the proposed method is first demonstrated by small-signal analysis, then validated by experiments on a 20 kVA power conversion system.
title Robust Grid-Forming Control Based on Virtual Flux Observer
topic Systems and Control
url https://arxiv.org/abs/2601.16418