An improved model predictive control method for vehicle lateral control

dc.contributor.authorLi, Yunao
dc.contributor.authorChai, Senchun
dc.contributor.authorChai, Ruiqi
dc.contributor.authorLiu, Xiaopeng
dc.date.accessioned2021-06-22T14:48:29Z
dc.date.available2021-06-22T14:48:29Z
dc.date.issued2020-09-09
dc.description.abstractThis paper presents a lateral dynamic model based on control algorithm for the path tracking of autonomous vehicle. To improve the stability of the vehicle for high speed cases, an improved model predictive control (MPC) controller has been proposed in this paper. By combining the steady state response and MPC, the lateral motion of the autonomous vehicle can be controlled smoothly and the accuracy of path tracking can be guaranteed at a high speed. A number of simulation results obtained by using MATLAB are provided to validate this methodology.en_UK
dc.identifier.citationLi Y, Chai S, Chai R, Liu X. (2020) An improved model predictive control method for vehicle lateral control. In: 2020 39th Chinese Control Conference (CCC), 27-29 July 2020, Shenyang, Chinaen_UK
dc.identifier.isbn978-1-7281-6523-3
dc.identifier.issn1934-1768
dc.identifier.urihttps://doi.org/10.23919/CCC50068.2020.9188611
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/16806
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectAutonomous vehicleen_UK
dc.subjectLateral dynamicsen_UK
dc.subjectModel predictive controlen_UK
dc.subjectSteady state responseen_UK
dc.subjectStabilityen_UK
dc.titleAn improved model predictive control method for vehicle lateral controlen_UK

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