Autonomous Robot System for Speed Tests of Vehicle

Liling Ma, Tao Chen, Shoukun Wang, Yongkang Xu, Junzheng Wang

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

It has become an inevitable trend that the manual driver is replaced by autonomous robot system(ARS) to conduct performance tests of vehicle. However, ARS that are currently available have low precision and it requires expensive equipment for performance analysis. In this paper, a novel ARS with an improved incremental proportional-differential controller is proposed. Firstly, two servo electric cylinders with the built-in force sensor and the code sensor are designed as actuators of brake pedal and accelerator pedal respectively. Secondly, a model of pedal opening and speed is established approximately. Thirdly, an improved incremental proportional-differential control method based on speed and acceleration preview is designed to reduce the serious delay of vehicle's response without models of vehicle and robot. Finally, some simulations and real vehicle experiments are carried out to illustrate the effectiveness the robot with the method we proposed. The results demonstrate that the error is less than 2Km/h in most cases, which can achieve promising speed tracking performance in terms of accuracy and stability.

源语言英语
主期刊名2023 42nd Chinese Control Conference, CCC 2023
出版商IEEE Computer Society
2838-2843
页数6
ISBN(电子版)9789887581543
DOI
出版状态已出版 - 2023
活动42nd Chinese Control Conference, CCC 2023 - Tianjin, 中国
期限: 24 7月 202326 7月 2023

出版系列

姓名Chinese Control Conference, CCC
2023-July
ISSN(印刷版)1934-1768
ISSN(电子版)2161-2927

会议

会议42nd Chinese Control Conference, CCC 2023
国家/地区中国
Tianjin
时期24/07/2326/07/23

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