Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/162747
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dc.contributor.authorTian, Yingen_US
dc.contributor.authorYao, Qiangqiangen_US
dc.contributor.authorHang, Pengen_US
dc.contributor.authorWang, Shengyuanen_US
dc.date.accessioned2022-11-08T00:41:52Z-
dc.date.available2022-11-08T00:41:52Z-
dc.date.issued2022-
dc.identifier.citationTian, Y., Yao, Q., Hang, P. & Wang, S. (2022). Adaptive coordinated path tracking control strategy for autonomous vehicles with direct yaw moment control. Chinese Journal of Mechanical Engineering (English Edition), 35(1). https://dx.doi.org/10.1186/s10033-021-00666-0en_US
dc.identifier.issn1000-9345en_US
dc.identifier.urihttps://hdl.handle.net/10356/162747-
dc.description.abstractIt is a striking fact that the path tracking accuracy of autonomous vehicles based on active front wheel steering is poor under high-speed and large-curvature conditions. In this study, an adaptive path tracking control strategy that coordinates active front wheel steering and direct yaw moment is proposed based on model predictive control algorithm. The recursive least square method with a forgetting factor is used to identify the rear tire cornering stiffness and update the path tracking system prediction model. To adaptively adjust the priorities of path tracking accuracy and vehicle stability, an adaptive strategy based on fuzzy rules is applied to change the weight coefficients in the cost function. An adaptive control strategy for coordinating active front steering and direct yaw moment is proposed to improve the path tracking accuracy under high-speed and large-curvature conditions. To ensure vehicle stability, the sideslip angle, yaw rate and zero moment methods are used to construct optimization constraints based on the model predictive control frame. It is verified through simulation experiments that the proposed adaptive coordinated control strategy can improve the path tracking accuracy and ensure vehicle stability under high-speed and large-curvature conditions.en_US
dc.language.isoenen_US
dc.relation.ispartofChinese Journal of Mechanical Engineering (English Edition)en_US
dc.rights© The Author(s) 2022. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.en_US
dc.subjectEngineering::Mechanical engineeringen_US
dc.titleAdaptive coordinated path tracking control strategy for autonomous vehicles with direct yaw moment controlen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.identifier.doi10.1186/s10033-021-00666-0-
dc.description.versionPublished versionen_US
dc.identifier.scopus2-s2.0-85122330119-
dc.identifier.issue1en_US
dc.identifier.volume35en_US
dc.subject.keywordsAutonomous Vehiclesen_US
dc.subject.keywordsPath Trackingen_US
dc.description.acknowledgementSupported by the Foundation of Key Laboratory of Vehicle Advanced Manufacturing, Measuring and Control Technology (Beijing Jiaotong University), Ministry of Education, China (Grant No. 014062522006), National Key Research Development Program of China (Grant No. 2017YFB0103701).en_US
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