Unified Approach for Robust Stability Analysis of Buck Converters with Discrete-Time Sliding Mode Control
Author(s) -
Yanmin Wang,
Yang Ge,
Ping Zhang,
Guangxin Duan
Publication year - 2021
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2021/5527047
Subject(s) - control theory (sociology) , converters , stability (learning theory) , discrete time and continuous time , computer science , controller (irrigation) , mode (computer interface) , robust control , buck converter , process (computing) , sampling (signal processing) , sliding mode control , control (management) , control system , mathematics , engineering , voltage , nonlinear system , artificial intelligence , biology , machine learning , computer vision , agronomy , filter (signal processing) , operating system , physics , statistics , electrical engineering , quantum mechanics
This paper proposes a novel discrete-time sliding mode (DTSM) control approach to address the robust stability problem of buck converters with multiple disturbances. The contributions lie in the “unified” modelling and controller design. In modelling, all the possible model uncertainties and external disturbances are considered and further classified into two cases. It can also be extended to the situations with individual/several disturbances. While for the controller design, differing from the traditional DTSM based on the nominal model, the disturbances are directly introduced in the process, giving the robust stability condition and four new regulation subranges. It is suitable for both nominal and perturbed systems. Finally, the influences of the sampling time and disturbances on the control performance are investigated. Simulations and experiments confirm the benefits of the unified approach with greater accuracy and wider applications.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom