Xiaohui Li, Zhenping Sun, Qing-yang Chen, Daxue Liu
{"title":"An adaptive preview path tracker for off-road autonomous driving","authors":"Xiaohui Li, Zhenping Sun, Qing-yang Chen, Daxue Liu","doi":"10.1109/ICCA.2013.6564867","DOIUrl":null,"url":null,"abstract":"A path tracking algorithm with adaptive preview distance based on roadside sampling is proposed in order to solve the path tracking control problems of autonomous driving in the complex off-road environment. The proposed lateral and longitudinal control laws involve both feedback control and feedforward control. We have reformulated the lateral control problem as an optimal control problem, and the designed trajectory is planned by taking the kinematic constrains of the vehicle and the preview road information pertaining to road curvature and road width into account. The desired lateral control command is directly decided by the curvature of the planned circular curves and the longitudinal velocity is planned by utilizing the preview information and the planned circular curves. In the meantime, the feedback control laws are designed by adopting inverse model of the vehicle dynamics. We implement our control method on the 14-DOF vehicle simulation model. And the simulation results are presented and discussed.","PeriodicalId":336534,"journal":{"name":"2013 10th IEEE International Conference on Control and Automation (ICCA)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 10th IEEE International Conference on Control and Automation (ICCA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCA.2013.6564867","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
A path tracking algorithm with adaptive preview distance based on roadside sampling is proposed in order to solve the path tracking control problems of autonomous driving in the complex off-road environment. The proposed lateral and longitudinal control laws involve both feedback control and feedforward control. We have reformulated the lateral control problem as an optimal control problem, and the designed trajectory is planned by taking the kinematic constrains of the vehicle and the preview road information pertaining to road curvature and road width into account. The desired lateral control command is directly decided by the curvature of the planned circular curves and the longitudinal velocity is planned by utilizing the preview information and the planned circular curves. In the meantime, the feedback control laws are designed by adopting inverse model of the vehicle dynamics. We implement our control method on the 14-DOF vehicle simulation model. And the simulation results are presented and discussed.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
