Robust Recursive Lateral Control for Autonomous Vehicles Subject to Parametric Uncertainties

被引:0
|
作者
Barbosa, Filipe Marques [1 ]
Marcos, Lucas Barbosa [1 ]
Bueno, Jose Nuno [1 ]
Grassi, Valdir, Jr. [1 ]
Terra, Marco Henrique [1 ]
机构
[1] Univ Sao Paulo, Sao Carlos Sch Engn EESC, Dept Elect & Comp Engn, Sao Carlos, SP, Brazil
来源
2017 LATIN AMERICAN ROBOTICS SYMPOSIUM (LARS) AND 2017 BRAZILIAN SYMPOSIUM ON ROBOTICS (SBR) | 2017年
关键词
PATH;
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 an approach to trajectory tracking control for autonomous vehicles subject to parametric uncertainties. Such uncertainties may have the potential to significantly decrease the performance of the system, even to the point of destabilizing it. Therefore, these parametric variations must be taken into account during the design of the controller. To solve the trajectory tracking problem for autonomous vehicles subject to parametric uncertainties, the Robust Recursive Regulator was used and compared to a PI controller. Uncertainties were assumed to be based on velocity profile. Simulation results showed that the Robust Recursive Regulator presented smaller tracking errors and smoother driving, which demonstrates that it is a very promising control system for practical applications.
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页数:5
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