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Stability of sliding mode controlled buck converters with unmodelled dynamics of circuit elements and hall sensor
Author(s) -
Wang Yanmin,
Niu Ziming,
Yang Mingyang,
Sun Lanxin,
Zhang Weiqi
Publication year - 2021
Publication title -
iet power electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.637
H-Index - 77
eISSN - 1755-4543
pISSN - 1755-4535
DOI - 10.1049/pel2.12043
Subject(s) - control theory (sociology) , converters , resistor , buck converter , engineering , stability (learning theory) , mode (computer interface) , computer science , voltage , control (management) , electrical engineering , artificial intelligence , operating system , machine learning
This paper investigates the stability problem of sliding mode controlled buck converters affected by unmodelled dynamics of circuit elements and Hall sensor. The parasitic resistors of all elements are contained in the modelling of buck converters. Different from the traditional sliding mode approach based on the nominal model, the circuit parasitic parameters are directly included in the controller design and stability analysis, which divide the regulation region located in the right half axis into four sub‐ranges. It is more accurate and has no need of extra compensator. For Hall sensor, singular perturbation theory is adopted for modelling and analysing, giving a stable condition concerning its dynamic and static parameters. Finally, the influence of the two types of unmodelled dynamics on the whole closed‐loop system is investigated by constructing an equivalent model, giving a more strict stability condition. Simulations and experiments are presented to illustrate the non‐negligible influence of these unmodelled dynamics.

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