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...
Main Authors: | , , |
---|---|
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 |
id |
doaj-61ff98ffaefe45b5b0ea5e0dd5e78b0e |
---|---|
record_format |
Article |
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 |
_version_ |
1717769988205445120 |