Linear Model Predictive Control for Lane Keeping and Obstacle Avoidance on Low Curvature Roads

被引:0
作者
Turri, Valerio [1 ]
Carvalho, Ashwin [2 ]
Tseng, Hongtei Eric [3 ]
Johansson, Karl Henrik [1 ]
Borrelli, Francesco [2 ]
机构
[1] Royal Inst Technol, ACCESS Linnaeus Ctr, Stockholm, Sweden
[2] Univ Calif Berkeley, Dept Mech Engn, Berkeley, CA 94720 USA
[3] Ford Motor Co, Powertrain Control R&A, Dearborn, MI 48121 USA
来源
2013 16TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS - (ITSC) | 2013年
基金
美国国家科学基金会;
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents a control architectnre based on a linear MPC formulation that addresses the lane keeping and obstacle avoidance problems for a passenger car driving on low curvature roads. The proposed control design decouples the longitudinal and lateral dynamics in two successive stages. First, plausible braking or throttle profiles are defined over the prediction horizon. Then, based on these profiles, linear time-varying models of the vehicle lateral dynamics are derived and used to formulate the associated linear MPC problems. The solutions of the optimization problems are used to determine for every time step, the optimal braking or throttle command and the corresponding steering angle command. Simulations show the ability of the controller to overcome multiple obstacles and keep the lane. Experimental res nits on an antonomous passenger vehicle driving on slippery roads show the effectiveness of the approach.
引用
收藏
页码:378 / 383
页数:6
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