Open AccessContinuous finite‐time TSM control for electronic throttle system
Author(s) -
Timothy Agbaje Oluwatoyin,
Li Shihua,
Sun Hao,
Zhang Lu
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.1086
Subject(s) - observer (physics) , control theory (sociology) , computer science , convergence (economics) , controller (irrigation) , realisation , position (finance) , stability (learning theory) , time derivative , finite element method , control engineering , control (management) , mathematics , engineering , physics , finance , quantum mechanics , artificial intelligence , machine learning , agronomy , economics , biology , economic growth , mathematical analysis , structural engineering
This article examines the position tracking difficulties of the electronic throttle (ET) system and presents a continuous finite‐time terminal sliding mode (TSM) control method. The development of this control method involves two procedures: (i) designing a global finite‐time observer to estimate the derivative and higher order derivatives of the ET system output, and the total disturbances; and (ii) construction of a continuous finite‐time TSM controller based on observer estimations, to ensure the realisation of fast finite‐time convergence of system output with a comparatively smooth control action. Comprehensive stability proof, simulation study, and experimental implementation are provided to affirm the applicability of the proposed method.