Digital control based on both small and large signal model based approaches for high switching frequency switched mode power converters
Bhandari, Abhishek Nemkumar
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https://hdl.handle.net/2142/115620
Description
Title
Digital control based on both small and large signal model based approaches for high switching frequency switched mode power converters
Author(s)
Bhandari, Abhishek Nemkumar
Issue Date
2022-04-28
Director of Research (if dissertation) or Advisor (if thesis)
Stillwell, Andrew
Department of Study
Electrical & Computer Eng
Discipline
Electrical & Computer Engr
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
power converters
sliding mode
state space averaged model
Digital control
Abstract
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).
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