A practical leader-follower tracking control scheme for multiple nonholonomic mobile robots in unknown obstacle environments

This brief addresses the leader-follower (L-F) tracking control problem for multiple nonholonomic mobile robots in unknown obstacle environments. Unlike most of the existing approaches investigating similar problems, a series of practical issues is considered and tackled in the proposed scheme. For...

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Main Authors: Wang, Yuanzhe, Wang, Danwei, Yang, Shuai, Shan, Mao
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2020
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Online Access:https://hdl.handle.net/10356/137402
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1374022020-03-24T03:27:00Z A practical leader-follower tracking control scheme for multiple nonholonomic mobile robots in unknown obstacle environments Wang, Yuanzhe Wang, Danwei Yang, Shuai Shan, Mao School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Constrained Control Fault-tolerant Control This brief addresses the leader-follower (L-F) tracking control problem for multiple nonholonomic mobile robots in unknown obstacle environments. Unlike most of the existing approaches investigating similar problems, a series of practical issues is considered and tackled in the proposed scheme. For leader tracking, a class of bounded barrier functions are employed to formulate distance and bearing angle constraints introduced by sensor limitations and L-F collision avoidance requirement. To ensure robot safety in unknown environments, a multiregion obstacle avoidance algorithm is proposed which prioritizes different control objectives in different regions. This brief also studies the leader-loss situation, which may be caused by illumination variation, motion blurring, or visual occlusion by obstacles. To deal with this case, a fault-tolerant strategy is designed to drive $F$ to the place where $L$ was lost immediately. The control scheme proposed in the brief is primarily designed for a communication-free environment where only local state measurements are available. Furthermore, it has control input constraints explicitly taken into account. Real robot experiment has been performed to validate the proposed method. Accepted version 2020-03-24T03:27:00Z 2020-03-24T03:27:00Z 2018 Journal Article Wang, Y., Wang, D., Yang, S., & Shan, M. (2019). A practical leader-follower tracking control scheme for multiple nonholonomic mobile robots in unknown obstacle environments. IEEE Transactions on Control Systems Technology, 27(4), 1685-1693. doi:10.1109/tcst.2018.2825943 1063-6536 https://hdl.handle.net/10356/137402 10.1109/TCST.2018.2825943 2-s2.0-85046378769 4 27 1685 1693 en IEEE Transactions on Control Systems Technology © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/TCST.2018.2825943 application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Constrained Control
Fault-tolerant Control
spellingShingle Engineering::Electrical and electronic engineering
Constrained Control
Fault-tolerant Control
Wang, Yuanzhe
Wang, Danwei
Yang, Shuai
Shan, Mao
A practical leader-follower tracking control scheme for multiple nonholonomic mobile robots in unknown obstacle environments
description This brief addresses the leader-follower (L-F) tracking control problem for multiple nonholonomic mobile robots in unknown obstacle environments. Unlike most of the existing approaches investigating similar problems, a series of practical issues is considered and tackled in the proposed scheme. For leader tracking, a class of bounded barrier functions are employed to formulate distance and bearing angle constraints introduced by sensor limitations and L-F collision avoidance requirement. To ensure robot safety in unknown environments, a multiregion obstacle avoidance algorithm is proposed which prioritizes different control objectives in different regions. This brief also studies the leader-loss situation, which may be caused by illumination variation, motion blurring, or visual occlusion by obstacles. To deal with this case, a fault-tolerant strategy is designed to drive $F$ to the place where $L$ was lost immediately. The control scheme proposed in the brief is primarily designed for a communication-free environment where only local state measurements are available. Furthermore, it has control input constraints explicitly taken into account. Real robot experiment has been performed to validate the proposed method.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Wang, Yuanzhe
Wang, Danwei
Yang, Shuai
Shan, Mao
format Article
author Wang, Yuanzhe
Wang, Danwei
Yang, Shuai
Shan, Mao
author_sort Wang, Yuanzhe
title A practical leader-follower tracking control scheme for multiple nonholonomic mobile robots in unknown obstacle environments
title_short A practical leader-follower tracking control scheme for multiple nonholonomic mobile robots in unknown obstacle environments
title_full A practical leader-follower tracking control scheme for multiple nonholonomic mobile robots in unknown obstacle environments
title_fullStr A practical leader-follower tracking control scheme for multiple nonholonomic mobile robots in unknown obstacle environments
title_full_unstemmed A practical leader-follower tracking control scheme for multiple nonholonomic mobile robots in unknown obstacle environments
title_sort practical leader-follower tracking control scheme for multiple nonholonomic mobile robots in unknown obstacle environments
publishDate 2020
url https://hdl.handle.net/10356/137402
_version_ 1681041323247796224