Autonomous Robot System for Speed Tests of Vehicle

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publication2023 42nd Chinese Control Conference, CCC 2023
PublisherIEEE Computer Society
Pages2838-2843
Number of pages6
ISBN (Electronic)9789887581543
DOIs
Publication statusPublished - 2023
Event42nd Chinese Control Conference, CCC 2023 - Tianjin, China
Duration: 24 Jul 202326 Jul 2023

Publication series

NameChinese Control Conference, CCC
Volume2023-July
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference42nd Chinese Control Conference, CCC 2023
Country/TerritoryChina
CityTianjin
Period24/07/2326/07/23

Keywords

  • Autonomous Robot System
  • Speed and Acceleration Preview
  • Vehicle Test

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