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https://hdl.handle.net/10356/150253
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Zhang, Xinyan | en_US |
dc.date.accessioned | 2021-06-08T12:14:12Z | - |
dc.date.available | 2021-06-08T12:14:12Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Zhang, X. (2021). An ultra-low supply low dropout regulator for internet-of-things applications. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/150253 | en_US |
dc.identifier.uri | https://hdl.handle.net/10356/150253 | - |
dc.description.abstract | The trend for electronic products is smaller, more portable, multifunctional, wearable and etc. This requires high performance power management to supply for different modules in the chip precisely. Low drop-out (LDO) regulator plays a significant part of on-chip power management, especially in low voltage and low power design, which can be widely used in the IoT applications. In this work, the design of an output-capacitorless ultra-low supply low dropout LDO regulator is presented in TSMC 40nm CMOS technology. It can operate at 0.6V supply and provide 0.4V dc output voltage with a quiescent current of 18.5μA. Besides, this proposed circuit topology can respond fast to the output load step change from 0 to 25mA with 18mV overshoot and 39mV undershoot. Besides, the simulated line regulation is 1.63μV/mV and load regulation is 0.073mV/mA. The proposed regulator is very useful for IoT applications. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Nanyang Technological University | en_US |
dc.relation | ISM-DISS-01892 | en_US |
dc.subject | Engineering::Electrical and electronic engineering | en_US |
dc.title | An ultra-low supply low dropout regulator for internet-of-things applications | en_US |
dc.type | Thesis-Master by Coursework | en_US |
dc.contributor.supervisor | Chan Pak Kwong | en_US |
dc.contributor.school | School of Electrical and Electronic Engineering | en_US |
dc.description.degree | Master of Science (Electronics) | en_US |
dc.contributor.supervisoremail | epkchan@ntu.edu.sg | en_US |
item.grantfulltext | restricted | - |
item.fulltext | With Fulltext | - |
Appears in Collections: | EEE Theses |
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File | Description | Size | Format | |
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Dissertation-ZhangXinyan.pdf Restricted Access | 1.27 MB | Adobe PDF | View/Open |
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