Practical Formation Tracking Control of Multiple Unicycle Robots

This note presents a distributed formation tracking scheme for multiple nonholonomic unicycle robots with any smooth reference trajectory, either feasible or non-feasible. The formation tracking problem is solved via a local tracking control law and a distributed virtual reference trajectory, conver...

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Main Authors: Lixia Yan, Baoli Ma
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8779639/
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spelling doaj-8a5d222f7076456aa51b2f1bb01e6e562021-04-05T17:28:26ZengIEEEIEEE Access2169-35362019-01-01711341711342610.1109/ACCESS.2019.29317508779639Practical Formation Tracking Control of Multiple Unicycle RobotsLixia Yan0https://orcid.org/0000-0002-0174-4795Baoli Ma1The Seventh Research Division, School of Automation Science and Electrical Engineering, Beihang University, Beijing, ChinaThe Seventh Research Division, School of Automation Science and Electrical Engineering, Beihang University, Beijing, ChinaThis note presents a distributed formation tracking scheme for multiple nonholonomic unicycle robots with any smooth reference trajectory, either feasible or non-feasible. The formation tracking problem is solved via a local tracking control law and a distributed virtual reference trajectory, converting the cooperative formation problem into a local tracking case. Several state transformations, dynamic oscillator approach, graph theory, and Lyapunov's method are combined to design formation tracking control law. We prove that the closed-loop formation tracking errors are globally uniformly ultimately convergent to an arbitrarily small neighborhood of the origin. This convergence does not depend on any persistent excitation (PE) condition of the reference trajectory. The simulation results validate the proposed formation tracking design.https://ieeexplore.ieee.org/document/8779639/Formation trackingunicycle robotspractical stabilizationtransverse functiondynamic oscillator
collection DOAJ
language English
format Article
sources DOAJ
author Lixia Yan
Baoli Ma
spellingShingle Lixia Yan
Baoli Ma
Practical Formation Tracking Control of Multiple Unicycle Robots
IEEE Access
Formation tracking
unicycle robots
practical stabilization
transverse function
dynamic oscillator
author_facet Lixia Yan
Baoli Ma
author_sort Lixia Yan
title Practical Formation Tracking Control of Multiple Unicycle Robots
title_short Practical Formation Tracking Control of Multiple Unicycle Robots
title_full Practical Formation Tracking Control of Multiple Unicycle Robots
title_fullStr Practical Formation Tracking Control of Multiple Unicycle Robots
title_full_unstemmed Practical Formation Tracking Control of Multiple Unicycle Robots
title_sort practical formation tracking control of multiple unicycle robots
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2019-01-01
description This note presents a distributed formation tracking scheme for multiple nonholonomic unicycle robots with any smooth reference trajectory, either feasible or non-feasible. The formation tracking problem is solved via a local tracking control law and a distributed virtual reference trajectory, converting the cooperative formation problem into a local tracking case. Several state transformations, dynamic oscillator approach, graph theory, and Lyapunov's method are combined to design formation tracking control law. We prove that the closed-loop formation tracking errors are globally uniformly ultimately convergent to an arbitrarily small neighborhood of the origin. This convergence does not depend on any persistent excitation (PE) condition of the reference trajectory. The simulation results validate the proposed formation tracking design.
topic Formation tracking
unicycle robots
practical stabilization
transverse function
dynamic oscillator
url https://ieeexplore.ieee.org/document/8779639/
work_keys_str_mv AT lixiayan practicalformationtrackingcontrolofmultipleunicyclerobots
AT baolima practicalformationtrackingcontrolofmultipleunicyclerobots
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