Nonlinear analysis of vehicle control actuations based on controlled invariant sets

In the paper, an analysis method is applied to the lateral stabilization problem of vehicle systems. The aim is to find the largest state-space region in which the lateral stability of the vehicle can be guaranteed by the peak-bounded control input. In the analysis, the nonlinear polynomial sum-of-s...

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Main Authors: Németh Balázs, Gáspár Péter, Péni Tamás
Format: Article
Language:English
Published: Sciendo 2016-03-01
Series:International Journal of Applied Mathematics and Computer Science
Subjects:
Online Access:https://doi.org/10.1515/amcs-2016-0003
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spelling doaj-61ff98ffaefe45b5b0ea5e0dd5e78b0e2021-09-06T19:39:49ZengSciendoInternational Journal of Applied Mathematics and Computer Science2083-84922016-03-01261314310.1515/amcs-2016-0003amcs-2016-0003Nonlinear analysis of vehicle control actuations based on controlled invariant setsNémeth Balázs0Gáspár Péter1Péni Tamás2Systems and Control Laboratory, Institute for Computer Science and Control Hungarian Academy of Sciences, Kende utca 13–17, 1111 Budapest, HungarySystems and Control Laboratory, Institute for Computer Science and Control Hungarian Academy of Sciences, Kende utca 13–17, 1111 Budapest, HungarySystems and Control Laboratory, Institute for Computer Science and Control Hungarian Academy of Sciences, Kende utca 13–17, 1111 Budapest, HungaryIn the paper, an analysis method is applied to the lateral stabilization problem of vehicle systems. The aim is to find the largest state-space region in which the lateral stability of the vehicle can be guaranteed by the peak-bounded control input. In the analysis, the nonlinear polynomial sum-of-squares programming method is applied. A practical computation technique is developed to calculate the maximum controlled invariant set of the system. The method calculates the maximum controlled invariant sets of the steering and braking control systems at various velocities and road conditions. Illustration examples show that, depending on the environments, different vehicle dynamic regions can be reached and stabilized by these controllers. The results can be applied to the theoretical basis of their interventions into the vehicle control system.https://doi.org/10.1515/amcs-2016-0003vehicle dynamicssum-of-squares programminglyapunov method
collection DOAJ
language English
format Article
sources DOAJ
author Németh Balázs
Gáspár Péter
Péni Tamás
spellingShingle Németh Balázs
Gáspár Péter
Péni Tamás
Nonlinear analysis of vehicle control actuations based on controlled invariant sets
International Journal of Applied Mathematics and Computer Science
vehicle dynamics
sum-of-squares programming
lyapunov method
author_facet Németh Balázs
Gáspár Péter
Péni Tamás
author_sort Németh Balázs
title Nonlinear analysis of vehicle control actuations based on controlled invariant sets
title_short Nonlinear analysis of vehicle control actuations based on controlled invariant sets
title_full Nonlinear analysis of vehicle control actuations based on controlled invariant sets
title_fullStr Nonlinear analysis of vehicle control actuations based on controlled invariant sets
title_full_unstemmed Nonlinear analysis of vehicle control actuations based on controlled invariant sets
title_sort nonlinear analysis of vehicle control actuations based on controlled invariant sets
publisher Sciendo
series International Journal of Applied Mathematics and Computer Science
issn 2083-8492
publishDate 2016-03-01
description In the paper, an analysis method is applied to the lateral stabilization problem of vehicle systems. The aim is to find the largest state-space region in which the lateral stability of the vehicle can be guaranteed by the peak-bounded control input. In the analysis, the nonlinear polynomial sum-of-squares programming method is applied. A practical computation technique is developed to calculate the maximum controlled invariant set of the system. The method calculates the maximum controlled invariant sets of the steering and braking control systems at various velocities and road conditions. Illustration examples show that, depending on the environments, different vehicle dynamic regions can be reached and stabilized by these controllers. The results can be applied to the theoretical basis of their interventions into the vehicle control system.
topic vehicle dynamics
sum-of-squares programming
lyapunov method
url https://doi.org/10.1515/amcs-2016-0003
work_keys_str_mv AT nemethbalazs nonlinearanalysisofvehiclecontrolactuationsbasedoncontrolledinvariantsets
AT gasparpeter nonlinearanalysisofvehiclecontrolactuationsbasedoncontrolledinvariantsets
AT penitamas nonlinearanalysisofvehiclecontrolactuationsbasedoncontrolledinvariantsets
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