Robust Adaptive Path-Tracking Control of Autonomous Ground Vehicles With Considerations of Steering System Backlash

被引:42
作者
Zhou, Xingyu [1 ]
Wang, Zejiang [1 ]
Shen, Heran [1 ]
Wang, Junmin [1 ]
机构
[1] Univ Texas Austin, Dept Mech Engn, Austin, TX 78712 USA
来源
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES | 2022年 / 7卷 / 02期
关键词
Kinematics; Vehicle dynamics; Intelligent vehicles; Mathematical models; Adaptation models; Trajectory; Steering systems; Adaptive inverse control; autonomous driving; linear quadratic regulator; model reference adaptive control; path tracking; sigma modification; steering backlash; DYNAMICS; DESIGN;
D O I
10.1109/TIV.2022.3146085
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Backlash phenomena have haunted control engineers for ages. Concerning the ground vehicle path-tracking control system design, the steering system's backlash attribute is often overlooked. If not properly compensated, the backlash nonlinearity tends to provoke unfavorable consequences including erroneous positioning of the road-wheel steering angle, response chattering, limit-cycle-like oscillations, and delays. This paper pioneers to employ an adaptive inverse controller to offset the dynamics of the steering system's backlash. Overall, the path-following objective is accomplished via a novel trio-loop control architecture, which decomposes the tracking objectives into kinematic, vehicular lateral dynamics, and steering backlash compensation sub-levels. All adaptive control laws are robustified by means of sigma modification. Hardware-in-the-loop experimental results are presented to demonstrate the superiorities of the proposed solution.
引用
收藏
页码:315 / 325
页数:11
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