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 Copy

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).

Graduation Semester

2022-05

Type of Resource

Thesis

Copyright and License Information

Copyright 2022 Abhishek Bhandari

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