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Control tunning approach and digital filter application for competitive line follower robot

dc.contributor.authorAmorim, Johann S.J.C.C.
dc.contributor.authorFernandes, Jefferson H.O.
dc.contributor.authorCanella, André L.C.
dc.contributor.authorSantos, Tatiana M.B.
dc.contributor.authorLima, José
dc.contributor.authorPinto, Milena F.
dc.date.accessioned2024-01-30T10:52:08Z
dc.date.available2024-01-30T10:52:08Z
dc.date.issued2023
dc.description.abstractThis research describes the development of a control strategy to optimize a competitive line follower robot for standard races. The innovative approach stems from the WolfBotz team at CEFET/RJ, presenting a thorough exploration of mathematical foundations, hardware design, control analysis, and how to implement this system in a microcontroller. This research complements a previous work that shows all the regulations used in Brazilian competitions and describes the controllers used in the system, such as angular and linear control. This research emphasizes all the changes between the two versions of Line Follower robots. The emphasis on mathematical foundations and integrating digital signal processing techniques like digital filters set the stage for robust sensor data interpretation. The tuning and optimization of dual controllers for track stability and linear velocity regulation represent a significant innovation, augmenting the robot’s overall performance.pt_PT
dc.description.sponsorshipThe authors would like to thank CEFET/RJ and the Brazilian research agencies CAPES, CNPq, and FAPERJ for supporting this work. Besides, the authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support through national funds FCT/MCTES (PIDDAC) to CeDRI (UIDB/05757/2020 and UIDP/05757/2020) and SusTEC (LA/P/0007/2021).pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationAmorim, Johann S.J.C.C.; Fernandes, Jefferson H.O.; Canella, André L.C.; Santos, Tatiana M.B.; Lima, José; Pinto, Milena F. (2023). Control tunning approach and digital filter application for competitive line follower robot. In 20th Latin American Robotics Symposium, 15th Brazilian Symposium on Robotics, and 14th Workshop of Robotics in Education (LARS/SBR/WRE). p. 597-602. ISBN 979-8-3503-1538-7pt_PT
dc.identifier.doi10.1109/LARS/SBR/WRE59448.2023.10332987pt_PT
dc.identifier.issn979-8-3503-1538-7
dc.identifier.urihttp://hdl.handle.net/10198/29395
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIEEEpt_PT
dc.relationLA/P/0007/2021pt_PT
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectLine followerpt_PT
dc.subjectPIDpt_PT
dc.subjectDigital filterspt_PT
dc.subjectWheeled robotpt_PT
dc.titleControl tunning approach and digital filter application for competitive line follower robotpt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05757%2F2020/PT
oaire.citation.endPage602pt_PT
oaire.citation.startPage597pt_PT
oaire.citation.title20th Latin American Robotics Symposium, 15th Brazilian Symposium on Robotics, and 14th Workshop of Robotics in Education (LARS/SBR/WRE)pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameLima
person.givenNameJosé
person.identifierR-000-8GD
person.identifier.ciencia-id6016-C902-86A9
person.identifier.orcid0000-0001-7902-1207
person.identifier.ridL-3370-2014
person.identifier.scopus-author-id55851941311
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationd88c2b2a-efc2-48ef-b1fd-1145475e0055
relation.isAuthorOfPublication.latestForDiscoveryd88c2b2a-efc2-48ef-b1fd-1145475e0055
relation.isProjectOfPublication6e01ddc8-6a82-4131-bca6-84789fa234bd
relation.isProjectOfPublicationd0a17270-80a8-4985-9644-a04c2a9f2dff
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