{"title":"基于自适应体偏置技术的数字LDO调节器改善瞬态响应","authors":"Kartikay Mani Tripathi , Madhav Pathak , Sanjeev Manhas , Anand Bulusu","doi":"10.1016/j.sse.2025.109137","DOIUrl":null,"url":null,"abstract":"<div><div>This paper introduces an adaptive body biasing (ABB) technique for improving the transient response of the Digital Low-Dropout regulator (DLDO) during events of step increment in the load current demand. The proposed ABB technique detects voltage undershoot and dynamically tunes the body bias of the pMOSFETs in the DLDO’s switching array to reduce its threshold voltage, thereby boosting the current supply to help meet the transient load demand. With an ABB-integrated DLDO, designed and simulated in a 28 nm FDSOI (RVT) process, we achieve a reduction in the peak output voltage undershoot and recovery time by 21.23 % and 41.13 %, respectively, compared to DLDO operation without ABB. To validate our approach in the bulk CMOS process, we also designed the ABB-integrated DLDO in a 180 nm bulk process and reported a reduction in the peak output voltage undershoot and recovery time by 13.69 % and 43.8 %, respectively. The robustness of the design to mismatches and process variations is justified via Monte-Carlo simulations, indicating the reliable performance of the proposed ABB technique in DLDO.</div></div>","PeriodicalId":21909,"journal":{"name":"Solid-state Electronics","volume":"228 ","pages":"Article 109137"},"PeriodicalIF":1.4000,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Adaptive body biasing technique based digital LDO regulator for transient response improvement\",\"authors\":\"Kartikay Mani Tripathi , Madhav Pathak , Sanjeev Manhas , Anand Bulusu\",\"doi\":\"10.1016/j.sse.2025.109137\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper introduces an adaptive body biasing (ABB) technique for improving the transient response of the Digital Low-Dropout regulator (DLDO) during events of step increment in the load current demand. The proposed ABB technique detects voltage undershoot and dynamically tunes the body bias of the pMOSFETs in the DLDO’s switching array to reduce its threshold voltage, thereby boosting the current supply to help meet the transient load demand. With an ABB-integrated DLDO, designed and simulated in a 28 nm FDSOI (RVT) process, we achieve a reduction in the peak output voltage undershoot and recovery time by 21.23 % and 41.13 %, respectively, compared to DLDO operation without ABB. To validate our approach in the bulk CMOS process, we also designed the ABB-integrated DLDO in a 180 nm bulk process and reported a reduction in the peak output voltage undershoot and recovery time by 13.69 % and 43.8 %, respectively. The robustness of the design to mismatches and process variations is justified via Monte-Carlo simulations, indicating the reliable performance of the proposed ABB technique in DLDO.</div></div>\",\"PeriodicalId\":21909,\"journal\":{\"name\":\"Solid-state Electronics\",\"volume\":\"228 \",\"pages\":\"Article 109137\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2025-04-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Solid-state Electronics\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0038110125000826\",\"RegionNum\":4,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Solid-state Electronics","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0038110125000826","RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Adaptive body biasing technique based digital LDO regulator for transient response improvement
This paper introduces an adaptive body biasing (ABB) technique for improving the transient response of the Digital Low-Dropout regulator (DLDO) during events of step increment in the load current demand. The proposed ABB technique detects voltage undershoot and dynamically tunes the body bias of the pMOSFETs in the DLDO’s switching array to reduce its threshold voltage, thereby boosting the current supply to help meet the transient load demand. With an ABB-integrated DLDO, designed and simulated in a 28 nm FDSOI (RVT) process, we achieve a reduction in the peak output voltage undershoot and recovery time by 21.23 % and 41.13 %, respectively, compared to DLDO operation without ABB. To validate our approach in the bulk CMOS process, we also designed the ABB-integrated DLDO in a 180 nm bulk process and reported a reduction in the peak output voltage undershoot and recovery time by 13.69 % and 43.8 %, respectively. The robustness of the design to mismatches and process variations is justified via Monte-Carlo simulations, indicating the reliable performance of the proposed ABB technique in DLDO.
期刊介绍:
It is the aim of this journal to bring together in one publication outstanding papers reporting new and original work in the following areas: (1) applications of solid-state physics and technology to electronics and optoelectronics, including theory and device design; (2) optical, electrical, morphological characterization techniques and parameter extraction of devices; (3) fabrication of semiconductor devices, and also device-related materials growth, measurement and evaluation; (4) the physics and modeling of submicron and nanoscale microelectronic and optoelectronic devices, including processing, measurement, and performance evaluation; (5) applications of numerical methods to the modeling and simulation of solid-state devices and processes; and (6) nanoscale electronic and optoelectronic devices, photovoltaics, sensors, and MEMS based on semiconductor and alternative electronic materials; (7) synthesis and electrooptical properties of materials for novel devices.