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A Dithering-Amplification-Based Identification Technique for Online SMPS

机译:基于抖动放大的在线SMPS识别技术

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摘要

A novel nonparametric system identification (SI) algorithm is described, focusing on PID-based control loops for buck converters with effective series resistance (ESR) in the output filter. Dithering amplification effects on the control path are exploited during the steady-state converter operation. The noise injected is used to stimulate the loop reaction and to identify the output filter configuration. Oversampling-dithering features of third-order modulators are used to increase the DPWM resolution during the converter nominal operation and, moreover, as the core key to compute the SI algorithm. A modified structure of a noise shaper is used to handle the resolution of the SI algorithm over a range of the desired frequencies during the nonparametric identification. The SI algorithm comprises two steps: the first processing step extracts the resonant frequency, and the second extracts the ESR zero from the power spectrum density computation of the control feedback error. The SI method has been validated with different buck converter configurations, and has successfully been integrated and measured into a digitally controlled buck converters prototype for automotive safety application.
机译:描述了一种新颖的非参数系统识别(SI)算法,重点关注用于输出滤波器中具有有效串联电阻(ESR)的降压转换器的基于PID的控制回路。在稳态转换器操作期间会利用抖动放大对控制路径的影响。注入的噪声用于刺激环路反应并确定输出滤波器的配置。三阶调制器的过采样抖动特性可用于在转换器标称工作期间提高DPWM分辨率,并且是计算SI算法的核心关键。噪声整形器的修改后的结构用于在非参数识别期间在所需频率范围内处理SI算法的分辨率。 SI算法包括两个步骤:第一个处理步骤提取谐振频率,第二个从控制反馈误差的功率谱密度计算中提取ESR零。 SI方法已通过不同的降压转换器配置进行了验证,并且已成功集成并测量到用于汽车安全应用的数控降压转换器原型中。

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