TY - GEN
T1 - Autonomous Robot System for Speed Tests of Vehicle
AU - Ma, Liling
AU - Chen, Tao
AU - Wang, Shoukun
AU - Xu, Yongkang
AU - Wang, Junzheng
N1 - Publisher Copyright:
© 2023 Technical Committee on Control Theory, Chinese Association of Automation.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - Autonomous Robot System
KW - Speed and Acceleration Preview
KW - Vehicle Test
UR - http://www.scopus.com/inward/record.url?scp=85175548809&partnerID=8YFLogxK
U2 - 10.23919/CCC58697.2023.10240056
DO - 10.23919/CCC58697.2023.10240056
M3 - Conference contribution
AN - SCOPUS:85175548809
T3 - Chinese Control Conference, CCC
SP - 2838
EP - 2843
BT - 2023 42nd Chinese Control Conference, CCC 2023
PB - IEEE Computer Society
T2 - 42nd Chinese Control Conference, CCC 2023
Y2 - 24 July 2023 through 26 July 2023
ER -