Evaluating the Performance of Fuzzy-PID Control for Lane Recognition and Lane-Keeping in Vehicle Simulations

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dc.authoridhttps://orcid.org/0000-0002-5501-0041en_US
dc.authoridhttps://orcid.org/0000-0002-0792-7031en_US
dc.authoridhttps://orcid.org/0000-0001-8028-7918en_US
dc.authoridhttps://orcid.org/0000-0001-9386-7495en_US
dc.contributor.authorMoveh, Samuel
dc.contributor.authorYahya, Khalid O. Moh.
dc.contributor.authorAttar, Hani
dc.contributor.authorAmer, Ayman
dc.contributor.authorMohamed, Mahmoud
dc.contributor.authorBadmos, Tajudeen Adeleke
dc.date.accessioned2023-04-06T09:24:08Z
dc.date.available2023-04-06T09:24:08Z
dc.date.issued2023en_US
dc.departmentMühendislik ve Mimarlık Fakültesien_US
dc.description.abstractThis study presents the use of a vision-based fuzzy-PID lane-keeping control system for the simulation of a single-track bicycle model. The lane-keeping system (LKS) processes images to identify the lateral deviation of the vehicle from the desired reference track and generates a steering control command to correct the deviation. The LKS was compared to other lane-keeping control methods, such as Ziegler–Nichols proportional derivative (PD) and model predictive control (MPC), in terms of response time and settling time. The fuzzy-PID controller had the best performance, with fewer oscillations and a faster response time compared to the other methods. The PD controller was not as robust under various conditions due to changing parameters, while the MPC was not accurate enough due to similar reasons. However, the fuzzy-PID controller showed the best performance, with a maximum lateral deviation of 2 cm, a settling time of 12 s, and Kp and Kd values of 0.01 and 0.06, respectively. Overall, this work demonstrates the potential of using fuzzy-PID control for effective lane recognition and lane-keeping in vehicles.en_US
dc.identifier.doi10.3390/electronics12030724en_US
dc.identifier.endpage11en_US
dc.identifier.issn2079-9292
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-85147816919en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage1en_US
dc.identifier.urihttps://hdl.handle.net/11363/4373
dc.identifier.urihttps://doi.org/
dc.identifier.volume12en_US
dc.identifier.wosWOS:000929288000001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherMDPI, ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLANDen_US
dc.relation.ispartofElectronicsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectacoustic sensoren_US
dc.subjectinternet of thingsen_US
dc.subjecttemperature sensoren_US
dc.subjectcar parkingen_US
dc.titleEvaluating the Performance of Fuzzy-PID Control for Lane Recognition and Lane-Keeping in Vehicle Simulationsen_US
dc.typeArticleen_US

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