Digital control based on both small and large signal model based approaches for high switching frequency switched mode power converters

Control schemes for power converters have traditionally been based on small-signal, model-based approaches consisting of continuous averaged linearized models. In this thesis, we will begin by reviewing existing control techniques and the small-signal linearized model design process with respect to dc-dc converter topologies. After that, we will analyze the state space averaging model and its equivalent forms. Then, we will analyze digital control and the complexities and benefits involved when implementing the same model as an averaged state space model in the discrete domain. In addition, large signal-based approaches (geometric control) will be analyzed, with the focus on sliding mode control. Matlab based simulations and code will be used to emphasize different aspects of state space averaged models being used in the discrete domain. At the end, there will be a chapter that will go over potential future work involving implementation on a Xylinx Zedboard (FGPA - Field Programmable Gate Array).

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Electrical & Computer Engr

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2022

Author dc:creator

• Bhandari, Abhishek Nemkumar

Contributors dc:contributor

• Stillwell, Andrew

• power converters
• sliding mode
• state space averaged model
• Digital control

Statement dc:rights

• Copyright 2022 Abhishek Bhandari

Language dc:language

en, eng

Handle dc:identifier

https://hdl.handle.net/2142/115620

OAI record oai:identifier

https://www.ideals.illinois.edu/oai-pmh?verb=GetRecord&metadataPrefix=etdms&identifier=oai%3Awww.ideals.illinois.edu%3A2142%2F115620