后沿调制降压变换器中平均和峰值电流控制的统一采样机制

Snehamoy Patra;Amit Kumar Singha
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引用次数: 0

摘要

传统的平均电流模式控制(CMC)的数字化实现是将电流环和电压环数字化。平均电流跟踪的精度取决于电感电流的采样值。现有的均匀采样数字平均CMC技术采用前缘调制或双边调制,难以实现对电感峰值电流的控制。此外,现有的前缘调制下的峰值CMC容易受到噪声的影响。本文提出了一种简单且鲁棒的采样机制,该机制可以在不改变控制器基本结构的情况下实现后缘调制下的数字平均CMC或峰值CMC。此外,所提出的峰值CMC对噪声不敏感,即使在大于0.5的负载下也很稳定。采用近似离散时间建模方法对所提出的机理进行建模。分析了系统寄生对采样机制的影响,发现这些影响不显著。通过MATLAB仿真和实验结果验证了所提出的平均电流和峰值电流控制方案。所提出的采样机制可以很容易地扩展到其他数字电流模式控制转换器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Unified Sampling Mechanism to Control Average and Peak Current in a Buck Converter Under Trailing-Edge Modulation
Traditional digital implementation of average current-mode control (CMC) digitizes current loop and voltage loop. Accuracy of average current tracking depends on the sampled value of the inductor current. Existing uniformly sampled digital average CMC techniques use leading-edge modulation or dual-edge modulation and they are not easily configurable to control the peak inductor current. Moreover, existing peak CMC under leading-edge modulation is prone to noise. This article proposes a simple and robust sampling mechanism that can be configured to implement digital average CMC or peak CMC under trailing-edge modulation without changing the fundamental structure of the controller. Furthermore, the proposed peak CMC is insensitive to noise and stable even with a duty greater than 0.5. Approximate discrete-time modeling approach is considered to model the proposed mechanism. Impacts of system's parasitics on the sampling mechanism are analyzed and they are found to be insignificant. The proposed average and peak current control schemes are validated with MATLAB simulations and experimental results. The proposed sampling mechanism can be easily extended for other digital current-mode controlled converters.
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