Abstract
Power management circuits are the foundation of any electrical system. They are designed to provide the current necessary for systems to function while keeping the supply voltage constant regardless of operating conditions or external disturbances such as changes in temperature. In modern Systems on Chips (SOC) targeted towards bio-sensing and Internet of Things (IoT) severe constraints appear on the systems level in terms of area and available power. External passive components are very expensive due to the premium of area and the circuits need to use as little power as possible to extend battery life. Traditional Low DropOut regulators (LDOs) that need a large external capacitor to function are therefore not feasible to regulate the battery power into a usable power rail for the system. This work presents an ultra-low power adaptive Output Capacitor-Less (OCL) LDO that is designed for these constrained environments. In addition to ultra-low baseline power, an Adaptive Headroom Extension (AHE) circuit increases the current load range of the LDO from very low to very high loads. This supports duty-cycling components in these constrained SOCs to increase battery life which requires a low nominal current and a high current when action is needed. To counteract the challenges of stability and undershoot caused by the lack of large external capacitor while retaining high power efficiency novel Adaptive Zero Tracking (AZT), Transient Response Enhancement (TRE), and adaptive bias shaping circuits are also introduced.
Publication Date
8-2026
Document Type
Thesis
Student Type
Graduate
Degree Name
Electrical Engineering (MS)
Department, Program, or Center
Electrical and Microelectronic Engineering, Department of
College
Kate Gleason College of Engineering
Advisor
Tejasvi Das
Advisor/Committee Member
Ferat Sahin
Recommended Citation
Wright, Will, "An Adaptive Wide Current-load Range Capacitor-less LDO With Ultra-low Power" (2026). Thesis. Rochester Institute of Technology. Accessed from
https://repository.rit.edu/theses/12764
Campus
RIT – Main Campus

Comments
This thesis has been embargoed. The full-text will be available on or around 8/13/2027.