A novel wheeled mobile robots control based on robust hybrid controller: Mixed H2/H∞ and predictive algorithm approach

One of the challenges facing robot tracking is the difficulty of controlling variety types of robots in known and unknown environments. This paper proposes a new strategy of path tracking for a non-holonomic mobile robot subject to kinematic disturbances using model prediction control and H2/H∞ cont...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Journal of King Saud University. Computer and information sciences Ročník 34; číslo 10; s. 9662 - 9676
Hlavní autoři: Sibang Liu, Kuili Liu, Zhen Zhong, Jinghan Yi, Hamdulah Aliev
Médium: Journal Article
Jazyk:angličtina
Vydáno: Springer 01.11.2022
Témata:
ISSN:1319-1578
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Abstract One of the challenges facing robot tracking is the difficulty of controlling variety types of robots in known and unknown environments. This paper proposes a new strategy of path tracking for a non-holonomic mobile robot subject to kinematic disturbances using model prediction control and H2/H∞ control by Gain-scheduled control law. In this regard, the problem of tracking a mobile robot is expressed in a way that its kinematic error is in the form of linear parameter variable with bounded disturbance. The purpose of the design is to stabilize the controller by solving the linear matrix inequality (LMI) conditions for error tracking model. The following stability conditions are then formulated in such a way that the upper bounds are considered as LMI auxiliary variables. Also with the help of more free matrices, it can reduce conservatism. The target tracking is first designed with the assumption that there is no obstacle in the environment, and then the obstacle avoidance mode is added to the tracer controller, which is done by modifying the optimal state vector definition. In both cases, the system stability check is also performed. Simulation is performed on several predetermined paths, indicating that this strategy is feasible.
AbstractList One of the challenges facing robot tracking is the difficulty of controlling variety types of robots in known and unknown environments. This paper proposes a new strategy of path tracking for a non-holonomic mobile robot subject to kinematic disturbances using model prediction control and H2/H∞ control by Gain-scheduled control law. In this regard, the problem of tracking a mobile robot is expressed in a way that its kinematic error is in the form of linear parameter variable with bounded disturbance. The purpose of the design is to stabilize the controller by solving the linear matrix inequality (LMI) conditions for error tracking model. The following stability conditions are then formulated in such a way that the upper bounds are considered as LMI auxiliary variables. Also with the help of more free matrices, it can reduce conservatism. The target tracking is first designed with the assumption that there is no obstacle in the environment, and then the obstacle avoidance mode is added to the tracer controller, which is done by modifying the optimal state vector definition. In both cases, the system stability check is also performed. Simulation is performed on several predetermined paths, indicating that this strategy is feasible.
Author Zhen Zhong
Kuili Liu
Jinghan Yi
Sibang Liu
Hamdulah Aliev
Author_xml – sequence: 1
  fullname: Sibang Liu
  organization: College of Physics and Telecommunication Engineering, ZhouKou Normal University, Zhoukou 466001, China
– sequence: 2
  fullname: Kuili Liu
  organization: College of Physics and Telecommunication Engineering, ZhouKou Normal University, Zhoukou 466001, China; Corresponding author
– sequence: 3
  fullname: Zhen Zhong
  organization: Chengdu SIWI Power Electronic Technology Co., Ltd, Chengdu 610097, China
– sequence: 4
  fullname: Jinghan Yi
  organization: Library of ZhouKou Normal University, Zhoukou 466001, China
– sequence: 5
  fullname: Hamdulah Aliev
  organization: Faculty of Energy, Tajik Technical University, Dushanbe, Tajikistan; Department of ECE, University of Texas at Austin, TX, USA
BookMark eNo1jEtOwzAURT0oEqV0Bwy8gaS24zgus6oCWqmICYwjf54bhzSOnLS0O2AVLI6VUH6jK51zdK_QqA0tIHRDSUoJFbM6rV_7vfEpI4ymlKaEkREa04zOE5oX8hJN-74mhNBC5DwTY3Rc4DYcoMFvFUADFu-C9g3gGHQYemxCO8TQYK36swvtN9_3A65OOnr7rxuIt_jRH8_Jis1Wn-8fWLUWdxGsN4M_AFbNNkQ_VDusui4GZaprdOFU08P0byfo5f7ueblKNk8P6-VikxhO5ZBIUThODJFEOGIBBNWC5zlx2rLcSZjnks1dISXLmdbScUmdNUAJECu51tkErX9_bVB12UW_U_FUBuXLHxDitlRx8KaBkhnBpXGaUQucC6EZc8wZm3Hg1OQy-wIWa3Bv
CitedBy_id crossref_primary_10_1007_s10846_023_01933_z
crossref_primary_10_1080_00207721_2024_2367711
crossref_primary_10_1007_s40313_024_01089_7
ContentType Journal Article
DBID DOA
DOI 10.1016/j.jksuci.2021.11.020
DatabaseName DOAJ Directory of Open Access Journals
DatabaseTitleList
Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
DeliveryMethod fulltext_linktorsrc
Discipline Computer Science
EndPage 9676
ExternalDocumentID oai_doaj_org_article_2c648cfb21de4466b22f2fcd34e41c58
GroupedDBID --K
0R~
4.4
457
5VS
AAEDT
AAEDW
AAIKJ
AAJSJ
AALRI
AASML
AAXUO
AAYWO
ABMAC
ACGFS
ADBBV
ADEZE
ADVLN
AEXQZ
AFGXO
AFJKZ
AFTJW
AGHFR
AITUG
ALMA_UNASSIGNED_HOLDINGS
AMRAJ
APXCP
BCNDV
C6C
EBS
FDB
GROUPED_DOAJ
IXB
KQ8
M41
O-L
O9-
OK1
ROL
SES
SSZ
XH2
ID FETCH-LOGICAL-c418t-867f40c0806f0dee61b64550fbd25f8e95829f788252bb8f481fdce10e0d84bb3
IEDL.DBID DOA
ISICitedReferencesCount 4
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000999620800046&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 1319-1578
IngestDate Tue Oct 07 09:25:28 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 10
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c418t-867f40c0806f0dee61b64550fbd25f8e95829f788252bb8f481fdce10e0d84bb3
OpenAccessLink https://doaj.org/article/2c648cfb21de4466b22f2fcd34e41c58
PageCount 15
ParticipantIDs doaj_primary_oai_doaj_org_article_2c648cfb21de4466b22f2fcd34e41c58
PublicationCentury 2000
PublicationDate 2022-11-01
PublicationDateYYYYMMDD 2022-11-01
PublicationDate_xml – month: 11
  year: 2022
  text: 2022-11-01
  day: 01
PublicationDecade 2020
PublicationTitle Journal of King Saud University. Computer and information sciences
PublicationYear 2022
Publisher Springer
Publisher_xml – name: Springer
SSID ssj0001765436
Score 2.249143
Snippet One of the challenges facing robot tracking is the difficulty of controlling variety types of robots in known and unknown environments. This paper proposes a...
SourceID doaj
SourceType Open Website
StartPage 9662
SubjectTerms Constrains MPC
Delay system
Hybrid controller
Obstacle avoidance
Quadratic programming
Trajectory tracking
Title A novel wheeled mobile robots control based on robust hybrid controller: Mixed H2/H∞ and predictive algorithm approach
URI https://doaj.org/article/2c648cfb21de4466b22f2fcd34e41c58
Volume 34
WOSCitedRecordID wos000999620800046&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV29TsMwELYQYmDhH_EvD6yhseOkLltBVB2gYgDUrcr5hxbapErTUt6Ap-DheBJ8bip1Y2G1Iyvy-XJ38X3fR8glFy4HBgOoGmADEWvnUpLbgMWQQt3GEHlJlpf7eqcju93G44rUF_aELeiBFxtX4yoRUlngTBu8ewTOLbdKR8IIpmIP83VZz0ox5f-u1BEz6aFFiNJh7lwucXO-uevtfTJVA1cecnaFJJ4o973C2e-DS2uHbFVZIW0u3maXrJlsj2wvFRdo5YD7ZN6kWT4zQ_rRNy5eaDrKwbk1LXLIywmt-s4phiZN8wzHp5OS9j8Rl7WcHprimj4M5u6RNq-1f76-aZppOi7wzga_fjQdvubFoOyP6JJy_IA8t-6ebttBpZ0QKMFkGcikbkWINOKJDbUxCYMEAcwWNI-tNI1Y8oZ19S-POYC0QjKrlWGhCbUUANEhWc_yzBwRKpJIQRSGKnbJVwRuOopSYC7UpyyRCo7JDe5cb7ygx-ghYbUfcGbsVWbs_WXGk_9Y5JRsckQneKjgGVkvi6k5JxtqVg4mxYU_Ib9-ksHF
linkProvider Directory of Open Access Journals
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=A+novel+wheeled+mobile+robots+control+based+on+robust+hybrid+controller%3A+Mixed+H2%2FH%E2%88%9E+and+predictive+algorithm+approach&rft.jtitle=Journal+of+King+Saud+University.+Computer+and+information+sciences&rft.au=Sibang+Liu&rft.au=Kuili+Liu&rft.au=Zhen+Zhong&rft.au=Jinghan+Yi&rft.date=2022-11-01&rft.pub=Springer&rft.issn=1319-1578&rft.volume=34&rft.issue=10&rft.spage=9662&rft.epage=9676&rft_id=info:doi/10.1016%2Fj.jksuci.2021.11.020&rft.externalDBID=DOA&rft.externalDocID=oai_doaj_org_article_2c648cfb21de4466b22f2fcd34e41c58
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1319-1578&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1319-1578&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1319-1578&client=summon