中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Terrain-Adaptive Longitudinal Control for Autonomous Trucks

文献类型:会议论文

作者Xiaoyu Xiong1; Bin Tian1; Rui Zhang2; Yang Sun3; Long Chen1
出版日期2022
会议日期2022.10.08
会议地点Macau, China
英文摘要

Autonomous driving of mining trucks is crucial to the construction of intelligent mines. In open-pit mines, complex terrain changing brings great challenges to the control performance of autonomous trucks. To solve this problem, a novel terrain-adaptive longitudinal control (TA-LC) algorithm is proposed by combining the adaptive feed-forward PID and the mine terrain. The TA-LC requires fewer calibration parameters, which only need one set of parameters to keep stability under various terrains. Compared with the traditional PID controller, the steady-state error of the vehicle speed is reduced. Simulation experiments are carried out to verify the effectiveness and stability of the TA-LC. The TA-LC is also applied on the autonomous trucks in JiDong Cement Mine.

源URL[http://ir.ia.ac.cn/handle/173211/51642]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
通讯作者Bin Tian
作者单位1.中国科学院自动化研究所
2.北京慧拓无限科技有限公司
3.河北工程大学
推荐引用方式
GB/T 7714
Xiaoyu Xiong,Bin Tian,Rui Zhang,et al. Terrain-Adaptive Longitudinal Control for Autonomous Trucks[C]. 见:. Macau, China. 2022.10.08.

入库方式: OAI收割

来源:自动化研究所

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