采用固定开关频率工作的模块化多电平矩阵转换器的计算高效 MPC

IF 5.2 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Open Journal of the Industrial Electronics Society Pub Date : 2023-12-28 DOI:10.1109/OJIES.2023.3347101
Rodrigo H. Cuzmar;Andrés Mora;Javier Pereda;Ricardo P. Aguilera;Pablo Poblete;Sebastián Neira
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引用次数: 0

摘要

模块化多电平矩阵转换器在交流-交流大功率转换方面表现突出。然而,它们需要多个控制回路来控制两个交流端口的电流、内部循环电流和电容器电压。本文提出了一种基于新型转换器建模的计算高效模型预测控制(MPC)策略,以充分利用移相脉宽调制工作原理,实现以下四点改进:1) 交流端口电流、循环电流和电容器电压的控制统一;2) 约束优化以保护转换器的限制;3) 与标准 MPC 策略相比,计算负担减轻,可扩展性高;4) 宽频操作,闭环瞬态响应快,谐波失真低,开关频率固定。
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Computationally Efficient MPC for Modular Multilevel Matrix Converters Operating With Fixed Switching Frequency
Modular multilevel matrix converters stand out for their performance in ac–ac high-power conversion. However, they require multiple control loops to govern the currents from both ac ports, the internal circulating currents, and the capacitor voltages. This article proposes a computationally efficient model predictive control (MPC) strategy based on a new converter modeling to exploit the phase-shifted pulsewidth modulation working principle fully, achieving four improvements: 1) control unification of both ac-ports currents, circulating currents, and capacitor voltages; 2) constrained optimization to safeguard the converter limits; 3) computational burden reduction and high scalability compared to standard MPC strategies; and 4) wide frequency operation with fast closed-loop transient responses, low harmonic distortion, and fixed switching frequency.
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来源期刊
IEEE Open Journal of the Industrial Electronics Society
IEEE Open Journal of the Industrial Electronics Society ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
10.80
自引率
2.40%
发文量
33
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.
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