Modeling and simulating switching power converters
Silva, Sergio
This item is only available for download by members of the University of Illinois community. Students, faculty, and staff at the U of I may log in with your NetID and password to view the item. If you are trying to access an Illinois-restricted dissertation or thesis, you can request a copy through your library's Inter-Library Loan office or purchase a copy directly from ProQuest.
Permalink
https://hdl.handle.net/2142/100032
Description
Title
Modeling and simulating switching power converters
Author(s)
Silva, Sergio
Contributor(s)
Hanumolu, Pavan K.
Issue Date
2018-05
Keyword(s)
Buck
boost
dc-dc converter
loop compensation
average model
PSS
Abstract
Different modeling and simulation techniques are presented for switching power converters. It is
important to achieve an excellent loop compensation to reach high performance and efficiency,
but the difficulty comes from modeling due to the nonlinear switching behavior. Techniques
involve linearizing switching power converters to derive their small-signal transfer functions and
to construct their average model. The small-signal transfer functions can be quickly modeled in
MATLAB but deriving or obtaining the transfer functions can be a tedious process, and
designers often wish to verify their design in a circuit simulator such as Spectre. The average
model is an equivalent circuit of its power converter that can be simulated and has low
simulation time since it does not involve any switching and represents the average DC value of
the voltage and current waveforms. To properly represent the nonlinear switching behavior, PSS
(periodic steady-state), PAC (periodic small-signal), and PSTB (periodic stability) are simulation analyses
found in SpectreRF, and they can extract the open and closed-loop frequency responses
from the switching transient simulation. The periodic analyses provide a more accurate frequency
response across wider frequencies at the cost of increased simulation time compared to the linearized
techniques.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.