整流器(神经网络)
自举(财务)
电容器
补偿(心理学)
算法
电气工程
计算机科学
数学
拓扑(电路)
电子工程
电压
工程类
人工智能
人工神经网络
随机神经网络
循环神经网络
计量经济学
心理学
精神分析
作者
Muhammad Abrar Akram,Sohmyung Ha
标识
DOI:10.1109/tpel.2022.3212090
摘要
This letter presents a fully differential CMOS bootstrap rectifier with an effective dynamic threshold voltage (i.e., ${V}_{\text{TH}}$ ) compensation (DVC). The bootstrapping circuit for DVC, which consists of a dynamically biased transistor, a series resistor, and a parallel capacitor, dynamically generates a compensation voltage for the main rectifying pass transistors only when the ${V}_{\text{TH}}$ compensation is required. It significantly increases the proposed rectifier's power conversion efficiency (PCE) compared to other bootstrap rectifiers. The proposed rectifier operates at an industrial, scientific, and medical (ISM) band frequency of 434 MHz, and it is fabricated in a 0.18- $\mu$ m CMOS process together with two conventional bootstrap rectifiers for performance comparison. Measurement results validate that the proposed rectifier outperforms the conventional bootstrap rectifiers in terms of the output dc voltage level, voltage conversion ratio, and PCE. The proposed rectifier attains a peak PCE of 71 $\%$ at a load resistor of 3 k $\Omega$ and an operating frequency of 434 MHz.
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