{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,20]],"date-time":"2025-12-20T22:16:59Z","timestamp":1766269019306,"version":"build-2065373602"},"reference-count":40,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2025,5,9]],"date-time":"2025-05-09T00:00:00Z","timestamp":1746748800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Outstanding Youth Project of Jiangxi Provincial Natural Science Foundation","award":["20242BAB23051","20232ACB204018","20243BBG71008","20232ABC03A30","2023\u2013137","2023JBGS003"],"award-info":[{"award-number":["20242BAB23051","20232ACB204018","20243BBG71008","20232ABC03A30","2023\u2013137","2023JBGS003"]}]},{"name":"Key Project of Jiangxi Provincial Natural Science Foundation","award":["20242BAB23051","20232ACB204018","20243BBG71008","20232ABC03A30","2023\u2013137","2023JBGS003"],"award-info":[{"award-number":["20242BAB23051","20232ACB204018","20243BBG71008","20232ABC03A30","2023\u2013137","2023JBGS003"]}]},{"name":"Key Research Program of Jiangxi Province","award":["20242BAB23051","20232ACB204018","20243BBG71008","20232ABC03A30","2023\u2013137","2023JBGS003"],"award-info":[{"award-number":["20242BAB23051","20232ACB204018","20243BBG71008","20232ABC03A30","2023\u2013137","2023JBGS003"]}]},{"name":"Project of Jiangxi 03 Special and 5G","award":["20242BAB23051","20232ACB204018","20243BBG71008","20232ABC03A30","2023\u2013137","2023JBGS003"],"award-info":[{"award-number":["20242BAB23051","20232ACB204018","20243BBG71008","20232ABC03A30","2023\u2013137","2023JBGS003"]}]},{"name":"Major Research Program of Nanchang City","award":["20242BAB23051","20232ACB204018","20243BBG71008","20232ABC03A30","2023\u2013137","2023JBGS003"],"award-info":[{"award-number":["20242BAB23051","20232ACB204018","20243BBG71008","20232ABC03A30","2023\u2013137","2023JBGS003"]}]},{"name":"Nanchang Open bidding for selecting the best candidates project","award":["20242BAB23051","20232ACB204018","20243BBG71008","20232ABC03A30","2023\u2013137","2023JBGS003"],"award-info":[{"award-number":["20242BAB23051","20232ACB204018","20243BBG71008","20232ABC03A30","2023\u2013137","2023JBGS003"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>To address the challenge of optimizing system adaptability, disturbance rejection, control precision, and convergence speed simultaneously in four-wheel steering (4WS) stability control, a 4WS controller with a variable steering ratio (VSR) strategy and fast adaptive super-twisting (FAST) sliding mode control is proposed to control and output the steering angles of four wheels. The ideal VSR strategy is designed based on the constant yaw rate gain, and a cubic quasi-uniform B-spline curve fitting method is innovatively used to optimize the VSR curve, effectively mitigating steering fluctuations and obtaining precise reference front wheel angles. A controller based on FAST is designed for active rear wheel steering control using a symmetric 4WS vehicle model. Under double-lane change conditions with varying speeds, the simulations show that, compared with the constant steering ratio, the proposed VSR strategy enhances low-speed sensitivity and high-speed stability, improving the system\u2019s adaptability to different operating conditions. Compared with conventional sliding mode control methods, the proposed FAST algorithm reduces chattering while increasing convergence speed and control precision. The VSR-FAST controller achieves optimization levels of more than 7.3% in sideslip angle and over 41% in yaw rate across different speeds, achieving an overall improvement in the stability control performance of the 4WS system.<\/jats:p>","DOI":"10.3390\/sym17050732","type":"journal-article","created":{"date-parts":[[2025,5,9]],"date-time":"2025-05-09T11:25:53Z","timestamp":1746789953000},"page":"732","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Research on the Stability Control of Four-Wheel Steering for Distributed Drive Electric Vehicles"],"prefix":"10.3390","volume":"17","author":[{"given":"Hongyu","family":"Pang","sequence":"first","affiliation":[{"name":"Key Laboratory of Conveyance and Equipment Ministry of Education, East China Jiaotong University, Nanchang 330013, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8861-9945","authenticated-orcid":false,"given":"Qiping","family":"Chen","sequence":"additional","affiliation":[{"name":"Key Laboratory of Conveyance and Equipment Ministry of Education, East China Jiaotong University, Nanchang 330013, China"}]},{"given":"Yuanhao","family":"Cai","sequence":"additional","affiliation":[{"name":"Key Laboratory of Conveyance and Equipment Ministry of Education, East China Jiaotong University, Nanchang 330013, China"}]},{"given":"Chunhui","family":"Gong","sequence":"additional","affiliation":[{"name":"Jiangling Motor Co., Ltd., Nanchang 330200, China"}]},{"given":"Zhiqiang","family":"Jiang","sequence":"additional","affiliation":[{"name":"Jiangxi Vocational and Technical College of Communications, Nanchang 330200, China"}]}],"member":"1968","published-online":{"date-parts":[[2025,5,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"163","DOI":"10.3901\/JME.2022.24.163","article-title":"Deep reinforcement learning-based integrated control of hybrid electric vehicles driven by high definition map in cloud control system","volume":"58","author":"Tang","year":"2022","journal-title":"J. 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