Autonomous distributed braking and driving force control architecture based on broadcast control for vehicles with in-wheel motors on four wheels.
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| Title: | Autonomous distributed braking and driving force control architecture based on broadcast control for vehicles with in-wheel motors on four wheels. |
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| Authors: | Ito, Akira1 (AUTHOR) akira.ito@mae.nagoya-u.ac.jp, Azuma, Shun-ichi2 (AUTHOR) |
| Source: | Advanced Robotics. May2024, Vol. 38 Issue 9/10, p672-683. 12p. |
| Subjects: | Motor vehicles, In-vehicle computing, Autonomous vehicles, Multiagent systems, Wheels, Broadcasting industry, Systems theory |
| Abstract: | In this paper, we investigate an architecture for autonomous distributed control of braking and driving force on each wheel of a vehicle equipped with in-wheel motors on four wheels. Specifically, in a scenario where the driving force of some wheels is reduced due to low-friction road or motor failure during going straight ahead, the remaining wheels that can generate driving force autonomously control the yaw rate caused by the unbalanced driving force and driving force reduction to maintain the vehicle behavior. To realize autonomous distributed control, we focus on broadcast control from the control theory of multi-agent systems, which deals with the control of systems composed of many elements. We verify by simulation that the proposed architecture performs as desired for the assumed scenario. [ABSTRACT FROM AUTHOR] |
| Copyright of Advanced Robotics is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 177458206 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Autonomous distributed braking and driving force control architecture based on broadcast control for vehicles with in-wheel motors on four wheels. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ito%2C+Akira%22">Ito, Akira</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> akira.ito@mae.nagoya-u.ac.jp</i><br /><searchLink fieldCode="AR" term="%22Azuma%2C+Shun-ichi%22">Azuma, Shun-ichi</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Advanced+Robotics%22">Advanced Robotics</searchLink>. May2024, Vol. 38 Issue 9/10, p672-683. 12p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Motor+vehicles%22">Motor vehicles</searchLink><br /><searchLink fieldCode="DE" term="%22In-vehicle+computing%22">In-vehicle computing</searchLink><br /><searchLink fieldCode="DE" term="%22Autonomous+vehicles%22">Autonomous vehicles</searchLink><br /><searchLink fieldCode="DE" term="%22Multiagent+systems%22">Multiagent systems</searchLink><br /><searchLink fieldCode="DE" term="%22Wheels%22">Wheels</searchLink><br /><searchLink fieldCode="DE" term="%22Broadcasting+industry%22">Broadcasting industry</searchLink><br /><searchLink fieldCode="DE" term="%22Systems+theory%22">Systems theory</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In this paper, we investigate an architecture for autonomous distributed control of braking and driving force on each wheel of a vehicle equipped with in-wheel motors on four wheels. Specifically, in a scenario where the driving force of some wheels is reduced due to low-friction road or motor failure during going straight ahead, the remaining wheels that can generate driving force autonomously control the yaw rate caused by the unbalanced driving force and driving force reduction to maintain the vehicle behavior. To realize autonomous distributed control, we focus on broadcast control from the control theory of multi-agent systems, which deals with the control of systems composed of many elements. We verify by simulation that the proposed architecture performs as desired for the assumed scenario. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Advanced Robotics is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=177458206 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/01691864.2024.2349919 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 672 Subjects: – SubjectFull: Motor vehicles Type: general – SubjectFull: In-vehicle computing Type: general – SubjectFull: Autonomous vehicles Type: general – SubjectFull: Multiagent systems Type: general – SubjectFull: Wheels Type: general – SubjectFull: Broadcasting industry Type: general – SubjectFull: Systems theory Type: general Titles: – TitleFull: Autonomous distributed braking and driving force control architecture based on broadcast control for vehicles with in-wheel motors on four wheels. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ito, Akira – PersonEntity: Name: NameFull: Azuma, Shun-ichi IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 01691864 Numbering: – Type: volume Value: 38 – Type: issue Value: 9/10 Titles: – TitleFull: Advanced Robotics Type: main |
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