Improved Triple-Loop Control for Grid-Connected Inverters With Multiresonant Compensation and Experimental Verification

IF 4.6 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Open Journal of the Industrial Electronics Society Pub Date : 2025-12-17 DOI:10.1109/OJIES.2025.3645487

Moria Sassonker Elkayam;Dmitri Vinnikov

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引用次数: 0

Abstract

This article presents an advanced triple-loop control strategy for grid-connected LCL-filtered inverters, incorporating a time-domain-based design for improved transient response, harmonic mitigation, and stability. This article extends the previous work of Elkayam and Vinnikov (2023) by implementing a multiresonant (MR) controller in the inner loop, combined with phase compensation techniques to enhance harmonic attenuation and system robustness. A novel delay estimation and compensation methodology is introduced, optimizing bandwidth distribution across the cascaded control loops. In addition, a refined dc- link capacitor voltage balancing strategy is developed to prevent voltage asymmetry and improve system reliability. The proposed control approach is validated through extensive experimental results and comparative analysis, demonstrating its effectiveness over conventional control methods in achieving enhanced dynamic performance, reduced steady- state error, and improved disturbance rejection.

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多谐振补偿并网逆变器改进三环控制及实验验证

本文提出了一种用于并网lcl滤波逆变器的先进三环控制策略，结合了基于时域的设计，以改善瞬态响应，谐波缓解和稳定性。本文扩展了Elkayam和Vinnikov（2023）之前的工作，通过在内环中实现多谐振（MR）控制器，结合相位补偿技术来增强谐波衰减和系统鲁棒性。提出了一种新的延迟估计和补偿方法，优化了级联控制环路上的带宽分布。此外，提出了一种改进的直流链路电容电压平衡策略，以防止电压不对称，提高系统可靠性。通过大量的实验结果和对比分析验证了所提出的控制方法，证明了其在提高动态性能，减少稳态误差和提高抗干扰性方面优于传统控制方法的有效性。

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来源期刊

IEEE Open Journal of the Industrial Electronics Society ENGINEERING, ELECTRICAL & ELECTRONIC-

CiteScore

10.80

自引率

2.40%

发文量

审稿时长

12 weeks

期刊介绍： The IEEE Open Journal of the Industrial Electronics Society is dedicated to advancing information-intensive, knowledge-based automation, and digitalization, aiming to enhance various industrial and infrastructural ecosystems including energy, mobility, health, and home/building infrastructure. Encompassing a range of techniques leveraging data and information acquisition, analysis, manipulation, and distribution, the journal strives to achieve greater flexibility, efficiency, effectiveness, reliability, and security within digitalized and networked environments. Our scope provides a platform for discourse and dissemination of the latest developments in numerous research and innovation areas. These include electrical components and systems, smart grids, industrial cyber-physical systems, motion control, robotics and mechatronics, sensors and actuators, factory and building communication and automation, industrial digitalization, flexible and reconfigurable manufacturing, assistant systems, industrial applications of artificial intelligence and data science, as well as the implementation of machine learning, artificial neural networks, and fuzzy logic. Additionally, we explore human factors in digitalized and networked ecosystems. Join us in exploring and shaping the future of industrial electronics and digitalization.