Open AccessPre‐computed GPC of a DC–DC buck converter
Author(s) -
Manjari Kamakshi,
Majhi Somanath,
Ramana Kasi V.
Publication year - 2020
Publication title -
iet circuits, devices and systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.251
H-Index - 49
eISSN - 1751-8598
pISSN - 1751-858X
DOI - 10.1049/iet-cds.2019.0253
Subject(s) - control theory (sociology) , buck converter , dead time , matlab , stability (learning theory) , controller (irrigation) , computer science , transfer function , voltage , mathematics , control (management) , engineering , agronomy , statistics , artificial intelligence , machine learning , electrical engineering , biology , operating system
This study presents the control mechanism of a DC–DC buck converter using generalised predictive control by approximating the plant model to a stable first‐order plus dead time (FOPDT) model. As most of the higher order plant dynamics can be represented by an FOPDT model, this study is limited only to a stable FOPDT dynamics system. In this work, a relation between FOPDT model parameters and weights of the cost function is derived. The controller design procedure is then verified by implementing voltage mode control of the DC–DC buck converter in the case of inactive constraints. Jury's stability criteria are used to analyse the stability of the closed‐loop system. The implemented algorithm is then verified using simulation in MATLAB/Simulink, as well as the hardware implementation of the pre‐computed control algorithm.