A trajectory tracking control algorithm of nonholonomic wheeled mobile robot

Rui Deng*, Qingfang Zhang, Rui Gao, Mingkang Li, Peng Liang, Xueshan Gao

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

3 引用 (Scopus)

摘要

A trajectory tracking control algorithm based on deep reinforcement learning is proposed in this paper. It could solve the trajectory tracking problem of wheeled mobile robot with nonholonomic constraints. Firstly, by analyzing the nonholonomic constraint characteristics of the wheeled mobile robot, the kinematics model, dynamics model and motor drive model of the wheeled mobile robot are established. Then, according to the proposed model, a trajectory tracking control algorithm is designed by using the deep deterministic policy gradient (DDPG) algorithm. Finally, a robot agent is trained to tracking a circle trajectory by the proposed method. The simulation results show that our control algorithm could effectively track the target circular trajectory.

源语言英语
主期刊名2021 6th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2021
出版商Institute of Electrical and Electronics Engineers Inc.
823-828
页数6
ISBN(电子版)9780738133645
DOI
出版状态已出版 - 3 7月 2021
活动6th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2021 - Chongqing, 中国
期限: 3 7月 20215 7月 2021

出版系列

姓名2021 6th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2021

会议

会议6th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2021
国家/地区中国
Chongqing
时期3/07/215/07/21

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