Experimental research of a passive multiple trailer system for backward motion control

Park Myoungkuk, Chung Woojin, Kim Munsang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

A passive multiple trailer system provides various practical advantages in order to develop multi-functional service robots. So far, we have proposed kinematic design of passive trailers, and backward motion control schemes in our prior work. In this paper, we propose two significant considerations based on practical experiences on backward control of multi-trailer system. The first issue is an analysis on the effect of joint errors. Joint errors include joint angle sensing errors and backlashes at the joints. Due to the joint error, the trajectory shows an offset distance from a desired reference path. A second issue is a slip detection based on a simplified dynamic model of the trailer system. The trailer system is designed based on the kinematic constraints, which imply rolling without slipping at wheels. We discuss how a practical trailer system can be controlled without violating kinematic constraints. Finally, we show the analogies and relationships between the off-hooked trailer and the previously proposed three point trailer.

Original languageEnglish
Title of host publicationProceedings of the 2005 IEEE International Conference on Robotics and Automation
Pages105-110
Number of pages6
DOIs
Publication statusPublished - 2005
Event2005 IEEE International Conference on Robotics and Automation - Barcelona, Spain
Duration: 2005 Apr 182005 Apr 22

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
Volume2005
ISSN (Print)1050-4729

Other

Other2005 IEEE International Conference on Robotics and Automation
CountrySpain
CityBarcelona
Period05/4/1805/4/22

Keywords

  • Backward motion control
  • Joint error analysis
  • Multibody mobile robot
  • Off-hooked trailer
  • Passive trailers

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

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