直流升压电源变换器的线性化无传感器自适应电压定位控制器

W. Huang, J. A. Abu Qahouq, S. Ahmed
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引用次数: 5

摘要

自适应电压定位(AVP)在利用允许的输出电压容限的同时降低了输出滤波器电容要求,并实现更快的瞬态响应,因此已被用于为集成电路供电的DC-DC开关电源变换器中。在已发表的文献中,大多数AVP控制方案都需要电流传感和采样电路,这增加了成本、尺寸、复杂性,并可能导致AVP操作的不准确性。最近有文献提出了一种基于输出电流值与占空比的线性关系,以占空比作为电流值的指示值,实现直流-直流降压变换器的SLAVP控制器。然而,由于两个原因,这种slap控制方案不能直接应用于DC-DC升压变换器拓扑。一个是升压变换器的RHP(右半平面)零点,这可能会在轻负载到重负载瞬变期间产生系统稳定性问题和振铃效应。其次,DC-DC升压变换器的输出电流值与占空比之间的关系是非线性的。本文提出了一种线性化无传感器AVP (L-SLAVP)控制方案,成功地解决了第二个问题。给出了该方案的理论基础,并在MATLAB®/SIMULINK®环境中建立了L-SLAVP控制器升压变换器的仿真模型,进行了验证和评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Linearized sensorless adaptive voltage positioning controller for DC-DC boost power converter
Adaptive voltage positioning (AVP) has been used in DC-DC switching power converters for powering integrated circuits due to its advantages of utilizing allowable output voltage tolerance while decreasing the output filter capacitance requirement, and achieving faster transient response. Most of the AVP control schemes in the published literature require current sensing and sampling circuits which increase cost, size, complexity and can cause inaccuracies of AVP operation. A SLAVP controller of DC-DC buck converter is recently proposed in the literature which can achieve AVP control based on the linear relationship between the output current value and the duty cycle value while using the duty cycle value as an indicator of current value. However, this SLAVP control scheme cannot be directly applied to DC-DC boost converter topology because of two reasons. One is the RHP (Right Half Plane) zero of boost converter which might yield system stability issues and ringing effects during light to heavy load transients. Second, the relationship between the output current value and the duty cycle value of the DC-DC boost converter is nonlinear. This paper proposes a linearized sensorless AVP (L-SLAVP) control scheme which successfully addresses the second issue. The theoretical basis of the proposed scheme is given and a simulation model of boost converter with L-SLAVP controller is developed in MATLAB®/SIMULINK® environment for verification and evaluation.
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