University of Illinois Urbana-Champaign

Modeling and numerical methods for power electronic devices

Reiman, Chloe Michelle

Content Files
REIMAN-DISSERTATION-2019.pdf
REIMAN-DISSERTATION-2019.pdf

Permalink

https://hdl.handle.net/2142/105674

Description

Title
Modeling and numerical methods for power electronic devices
Author(s)
Reiman, Chloe Michelle
Issue Date
2019-07-11
Director of Research (if dissertation) or Advisor (if thesis)
Rosenbaum, Elyse
Doctoral Committee Chair(s)
Rosenbaum, Elyse
Committee Member(s)
  • Krein, Philip
  • Hanumolu, Pavan
  • Banerjee, Arijit
Department of Study
Electrical & Computer Eng
Discipline
Electrical & Computer Engr
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Date of Ingest
2019-11-26T20:35:02Z
Keyword(s)
  • silicon controlled rectifier
  • SCR
  • PNPN
  • latch-up
  • 14-nm
  • switched-mode power supply
  • SMPS
  • flyback
  • boost
  • state vector simulation
  • event detection
Abstract
A scalable I-V model for latch-up in non-collinear PNPN devices is adapted from a previous model for collinear SCR devices. The model is applied to 14-nm FinFET test structures. Layout scaling trends for key latch-up metrics, such as holding and trigger voltage, are captured by the model in circuit simulation. TCAD simulation is used to gain physical insight into the behavior of non-collinear PNPN devices. The dynamic behavior of switched-mode power supplies is simulated by adopting a state-space representation. Piecewise linear models are used to represent the nonlinear switching devices within the power supplies. With state-space representation models, averaging techniques can be used to speed up simulation time. A reduced-order averaged model is used to predict the dynamic turn-on behavior of a flyback converter. A correction factor is added to the model to account for the effect of the snubber circuit. An Elementary Effects algorithm and a Bayesian inference routine are used to fit the averaged model to a more expensive netlist model. State-space models can also be used with the sampled-data method for state vector simulation. This approach is more accurate than the averaged model, but more computationally expensive. Computation time is reduced by calculating the matrix exponential using a decomposition method. With an efficient means of computing the matrix exponential, switching instances are updated reliably from previous computed values, providing a very quick means for event-detection state vector simulation.
Graduation Semester
2019-08
Type of Resource
text
Permalink
http://hdl.handle.net/2142/105674
Copyright and License Information
Copyright 2019 Chloe Reiman

Owning Collections

Dissertations and Theses - Electrical and Computer Engineering
Dissertations and Theses in Electrical and Computer Engineering
Graduate Dissertations and Theses at Illinois PRIMARY
Graduate Theses and Dissertations at Illinois