Vibration control of vehicle active suspension using sliding mode under parameters uncertainty
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F15%3A00240571" target="_blank" >RIV/68407700:21220/15:00240571 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.12720/jtle.3.2.136-142" target="_blank" >http://dx.doi.org/10.12720/jtle.3.2.136-142</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.12720/jtle.3.2.136-142" target="_blank" >10.12720/jtle.3.2.136-142</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Vibration control of vehicle active suspension using sliding mode under parameters uncertainty
Popis výsledku v původním jazyce
This paper introduces a theoretical investigation of active vehicle suspension system using sliding mode control (SMC) algorithm to enhance the ride comfort and vehicle stability under parameters uncertainty. SMC algorithm is a nonlinear control technique that regulates the dynamics of linear and nonlinear systems using a discontinuous control signal. The proposed control algorithm forces the suspension system to follow the behavior of the ideal sky-hook system behavior. A mathematical model and the equations of motion of the quarter active vehicle suspension system are considered and simulated using Matlab/Simulink software. The proposed active suspension is compared with the passive suspension systems. Suspension performance is evaluated in both time and frequency domains, in order to verify the success of the proposed control technique. Also, uncertainty analysis due to the increased of sprung mass and depreciated of spring stiffness and damping coefficient is also investigated in this paper. The simulated results reveal that the proposed controller using SMC grants a significant enhancement of ride comfort and vehicle stability even in the existence of parameters uncertainty.
Název v anglickém jazyce
Vibration control of vehicle active suspension using sliding mode under parameters uncertainty
Popis výsledku anglicky
This paper introduces a theoretical investigation of active vehicle suspension system using sliding mode control (SMC) algorithm to enhance the ride comfort and vehicle stability under parameters uncertainty. SMC algorithm is a nonlinear control technique that regulates the dynamics of linear and nonlinear systems using a discontinuous control signal. The proposed control algorithm forces the suspension system to follow the behavior of the ideal sky-hook system behavior. A mathematical model and the equations of motion of the quarter active vehicle suspension system are considered and simulated using Matlab/Simulink software. The proposed active suspension is compared with the passive suspension systems. Suspension performance is evaluated in both time and frequency domains, in order to verify the success of the proposed control technique. Also, uncertainty analysis due to the increased of sprung mass and depreciated of spring stiffness and damping coefficient is also investigated in this paper. The simulated results reveal that the proposed controller using SMC grants a significant enhancement of ride comfort and vehicle stability even in the existence of parameters uncertainty.
Klasifikace
Druh
J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
CEP obor
JT - Pohon, motory a paliva
OECD FORD obor
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Návaznosti výsledku
Projekt
Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2015
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Journal of Traffic and Logistics Engineering
ISSN
2301-3680
e-ISSN
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Svazek periodika
3
Číslo periodika v rámci svazku
2
Stát vydavatele periodika
DE - Spolková republika Německo
Počet stran výsledku
7
Strana od-do
136-142
Kód UT WoS článku
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EID výsledku v databázi Scopus
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