Lyapunov function-based improved switching command for a boost converter with an inductor–capacitor input filter

This study presents a control method for DC–DC switching power converters to avoid the instability caused by the interaction between a tightly controlled switching converter and an input low-pass filter. The proposed method is based on the Lyapunov stability criterion. A non-linearised model is esta...

Full description

Saved in:
Bibliographic Details
Published in:IET power electronics 2020-12, Vol.13 (17), p.3940-3953
Main Authors: Gavagsaz-Ghoachani, Roghayeh, Phattanasak, Matheepot, Martin, Jean-Philippe, Pierfederici, Serge
Format: Article
Language:English
Subjects:
boost converter
control method
controlled system
DC‐DC power convertors
DC–DC switching power converters
Electric power
Engineering Sciences
filter capacitor
flatness‐based controllers
inductors
inductor–capacitor input
input low‐pass filter
low‐pass filters
Lyapunov function‐based improved switching command
Lyapunov methods
Lyapunov stability criterion
nonlinear control systems
nonlinearised model
power convertors
Research Article
stability
state variables
switching convertors
tightly controlled switching converter
Citations: Items that this one cites
Items that cite this one
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This study presents a control method for DC–DC switching power converters to avoid the instability caused by the interaction between a tightly controlled switching converter and an input low-pass filter. The proposed method is based on the Lyapunov stability criterion. A non-linearised model is established, and the instantaneous quantities of the state variables are considered. The switching command is formulated by calculating the stability of the system. The inductor current and voltage across the filter capacitor, along with the state variables in the switching converter, follow the corresponding references. A boost converter is considered to demonstrate the associated effectiveness. The results of several simulations and experiments pertaining to the start-up, tracking, and regulation stages validate the proposed control approach. Moreover, the robustness of the approach against variations in the parameters of the controlled system is examined experimentally. To demonstrate the superiority of the proposed method, the method is compared with the proportional–integral, fuzzy, and flatness-based controllers.
ISSN:1755-4535
1755-4543
1755-4543
1755-4535
DOI:10.1049/iet-pel.2020.0836