Fuzzy adaptive finite-time formation control of unmanned ground vehicles with performance and feasibility constraints

This paper investigates the problem of fuzzy adaptive finite-time formation tracking control for unmanned ground vehicles (UGVs) systems with two different constraints. By utilizing the distance tracking error between the actual trajectory and the desired trajectory of each UGV, as well as the const...

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Main Authors: Lin Zhang, Kewen Li, Yongming Li
Format: Article
Language:English
Published: SAGE Publishing 2025-07-01
Series:Measurement + Control
Online Access:https://doi.org/10.1177/00202940241278592
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author Lin Zhang
Kewen Li
Yongming Li
author_facet Lin Zhang
Kewen Li
Yongming Li
author_sort Lin Zhang
collection DOAJ
description This paper investigates the problem of fuzzy adaptive finite-time formation tracking control for unmanned ground vehicles (UGVs) systems with two different constraints. By utilizing the distance tracking error between the actual trajectory and the desired trajectory of each UGV, as well as the constraints of bearing angle, to achieve the performance and feasibility constraints, respectively. Furthermore, the fuzzy logic systems (FLSs) are used to approximate unknown nonlinear functions. Due to the limitations of the field of view and communication distance of UGVs, the controller is designed by using finite time stability theory and universal barrier function. Under the proposed control scheme, the stability of the closed-loop system can be ensured, feasibility and performance constraints are also achieved. Finally, the effectiveness of the proposed control design is verified through simulation results.
format Article
id doaj-art-99cd09a0d2f74d0f8075dc7944ca479b
institution Kabale University
issn 0020-2940
language English
publishDate 2025-07-01
publisher SAGE Publishing
record_format Article
series Measurement + Control
spelling doaj-art-99cd09a0d2f74d0f8075dc7944ca479b2025-08-20T03:24:26ZengSAGE PublishingMeasurement + Control0020-29402025-07-015810.1177/00202940241278592Fuzzy adaptive finite-time formation control of unmanned ground vehicles with performance and feasibility constraintsLin ZhangKewen LiYongming LiThis paper investigates the problem of fuzzy adaptive finite-time formation tracking control for unmanned ground vehicles (UGVs) systems with two different constraints. By utilizing the distance tracking error between the actual trajectory and the desired trajectory of each UGV, as well as the constraints of bearing angle, to achieve the performance and feasibility constraints, respectively. Furthermore, the fuzzy logic systems (FLSs) are used to approximate unknown nonlinear functions. Due to the limitations of the field of view and communication distance of UGVs, the controller is designed by using finite time stability theory and universal barrier function. Under the proposed control scheme, the stability of the closed-loop system can be ensured, feasibility and performance constraints are also achieved. Finally, the effectiveness of the proposed control design is verified through simulation results.https://doi.org/10.1177/00202940241278592
spellingShingle Lin Zhang
Kewen Li
Yongming Li
Fuzzy adaptive finite-time formation control of unmanned ground vehicles with performance and feasibility constraints
Measurement + Control
title Fuzzy adaptive finite-time formation control of unmanned ground vehicles with performance and feasibility constraints
title_full Fuzzy adaptive finite-time formation control of unmanned ground vehicles with performance and feasibility constraints
title_fullStr Fuzzy adaptive finite-time formation control of unmanned ground vehicles with performance and feasibility constraints
title_full_unstemmed Fuzzy adaptive finite-time formation control of unmanned ground vehicles with performance and feasibility constraints
title_short Fuzzy adaptive finite-time formation control of unmanned ground vehicles with performance and feasibility constraints
title_sort fuzzy adaptive finite time formation control of unmanned ground vehicles with performance and feasibility constraints
url https://doi.org/10.1177/00202940241278592
work_keys_str_mv AT linzhang fuzzyadaptivefinitetimeformationcontrolofunmannedgroundvehicleswithperformanceandfeasibilityconstraints
AT kewenli fuzzyadaptivefinitetimeformationcontrolofunmannedgroundvehicleswithperformanceandfeasibilityconstraints
AT yongmingli fuzzyadaptivefinitetimeformationcontrolofunmannedgroundvehicleswithperformanceandfeasibilityconstraints