Finite Control Set Model Predictive Current Control of Non-isolated AC-AC Converters

Ronaq Nazir, Tabish Nazir Mir, A. H. Bhat, Naira Jeelani
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Abstract

AC-AC converters are employed in a variety of applications like heating control, light dimmers and AC voltage regulation. However, the most common topology used is that of a dc-link converter which suffers from the drawback of bulky dc link, larger footprint and compromises on the reliability of the system. As a natural extension to the well-established DC-DC converters, direct AC-AC converters contribute towards improved power quality, smaller footprint and absence of dc-link, Owing to the present-time digital signal processing abilities, Finite Control Set Model Predictive Current Control (FCS-MPCC) has been proposed as an effective modulation strategy for the control of these converters. This paper analyses the design, simulation and control of 1ϕ AC-AC converters in buck and boost mode using FCS-MPCC. Simulation results are further presented to investigate the performance of the proposed prediction method. The results depict minimum reference tracking error while respecting the restrictions on maximum allowable total harmonic distortion (THD).
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非隔离AC-AC变换器有限控制集模型预测电流控制
AC-AC转换器用于各种应用,如加热控制,调光器和交流电压调节。然而,最常用的拓扑结构是直流电路转换器,其缺点是直流电路体积大,占用空间大,影响了系统的可靠性。作为完善的DC-DC变换器的自然延伸,直接AC-AC变换器有助于改善电能质量,更小的占地面积和没有dc链路。由于目前的数字信号处理能力,有限控制集模型预测电流控制(FCS-MPCC)已被提出作为控制这些变换器的有效调制策略。本文利用FCS-MPCC分析了降压和升压模式下1φ AC-AC变换器的设计、仿真和控制。仿真结果进一步验证了所提预测方法的性能。结果表明,在满足最大允许总谐波失真(THD)限制的情况下,参考跟踪误差最小。
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