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

Jing Li, Qingbin Wu, Junzheng Wang, Hui Qin, Jiehao Li

Year
2020
Citations
12

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.

Keywords

Robustness (evolution)Control theory (sociology)KinematicsRobotTracking (education)Computer sciencePath (computing)Mobile robotControl engineeringTracking error

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