Autonomous Tracking Control for Four-Wheel Independent Steering Robot Based on Improved Pure Pursuit

Jing Li, Qingbin Wu, Junzheng Wang, Hui Qin, Jiehao Li
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引用次数: 7

Abstract

Autonomous tracking control is one of the fundamental challenges in the field of robotic autonomous navigation, especially for future intelligent robots. In this paper, an improved pure pursuit control method is proposed for the path tracking control problem of a four-wheel independent steering robot. Based on the analysis of the four-wheel independent steering model, the kinematic model and the steering geometry model of the robot are established. Then the path tracking control is realized by considering the correlation between the look-ahead distance and the velocity, as well as the lateral error between the robot and the reference path. The experimental results demonstrate that the improved pure pursuit control method has the advantages of small steady-state error, fast response and strong robustness, which can effectively improve the accuracy of path tracking.
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基于改进纯寻迹的四轮独立转向机器人自主跟踪控制
自主跟踪控制是机器人自主导航领域的基本挑战之一,尤其是对未来的智能机器人而言。针对四轮独立转向机器人的路径跟踪控制问题,提出了一种改进的纯跟踪控制方法。在分析四轮独立转向模型的基础上,建立了机器人的运动学模型和转向几何模型。然后,通过考虑前方距离与速度之间的相关性,以及机器人与参考路径之间的横向误差,实现路径跟踪控制。实验结果表明,改进的纯跟踪控制方法具有稳态误差小、响应快、鲁棒性强的优点,可以有效地提高路径跟踪的精度。
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