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A Quiescent 407-nA Output-Capacitorless Low-Dropout Regulator With 0–100-mA Load Current Range

机译:静态407nA无输出电容器的低压降稳压器,负载电流范围为0–100mA

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An ultralow quiescent current output-capacitorless low-dropout (LDO) regulator dedicated to Internet-of-Things applications is presented. This is based on an improved adaptive-stage adaptively biased architecture together with the novel frequency compensation to achieve the good stability and fast transient response under ultralow bias current. Validated by the CMOS 0.18-mu m technology, the chip area is 0.055 mm(2). The proposed LDO regulator consumes only 407-nA quiescent current at no-load current while providing a 1-V output with a maximum load current of 100 mA from a 1.2-V power supply. The adaptive frequency compensation is presented, including a new transistor degeneration frequency compensation (TDFC) to sustain the stability at ultralow quiescent bias. Besides, it also includes Q-reduction and Miller-RC compensation schemes to ensure the stability for full load current range. In addition, a substantial improved transient response is obtained by the proposed distributed overshoot reduction circuit together with the TDFC scheme and the adaptively feed-forward biasing topology. The measured results have shown that the undershoot/overshoot voltage is 117 mV/35.33 mV and the output can settle in 1.56 mu s with 1% accuracy. Compared to fixed-biased and adaptively biased architectures, it shows the lowest value in figure of merit (FOM) at the quiescent state. Compared to adaptively biased architectures, it shows the improved FOM at the maximum quiescent state.
机译:提出了一种专为物联网应用而设计的超低静态电流无输出电容器低压降(LDO)调节器。这是基于改进的自适应级自适应偏置架构以及新颖的频率补偿,以在超低偏置电流下实现良好的稳定性和快速的瞬态响应。通过CMOS 0.18微米技术验证,芯片面积为0.055毫米(2)。拟议中的LDO稳压器在空载电流下仅消耗407nA静态电流,同时通过1.2V电源提供1V输出,最大负载电流为100mA。提出了自适应频率补偿,其中包括一种新的晶体管退化频率补偿(TDFC),以在超低静态偏置下维持稳定性。此外,它还包括Q减小和Miller-RC补偿方案,以确保满载电流范围内的稳定性。另外,通过提出的分布式过冲减小电路,TDFC方案和自适应前馈偏置拓扑,可以大大改善瞬态响应。测量结果表明,下冲/过冲电压为117 mV / 35.33 mV,输出可以稳定在1.56μs内,精度为1%。与固定偏置和自适应偏置架构相比,它在静态下的品质因数(FOM)最低。与自适应偏置架构相比,它在最大静态下显示了改进的FOM。

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