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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