Sensory feedback performance improvement on RoboCab: An experimental approach to wire-driven parallel manipulator

Mohammadreza Mousavi, Masoud Ghanbari, Ali Nasr, S. Ali A. Moosavian, Payam Zarafshan

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

3 Citations (Scopus)

Abstract

This paper introduces a method to improve the feedback accuracy using multisensor data fusion. Flexibility in cables and unmodeled rotation of feeder pulley in the spatial workspace cause unreliability in the encoder data as well as sagging in cables. The purpose of this work is to provide an effective scheme to combine other sensors' information from multiple sources to increase the precision and reliability of feedback data. In this study, sensor level fusion algorithm is used to integrate and fuse together the camera and Inertial Measurement Unit (IMU) data. The main application of this method is in the implementation of various control methodologies where more accurate feedback data leads to an improved control performance. It is assumed that the cable mass is negligible and hence it insignificantly contributes to the robot dynamics. Experimental results show the merits of the proposed approach which will be discussed.

Original languageEnglish
Title of host publication4th RSI International Conference on Robotics and Mechatronics, ICRoM 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages477-482
Number of pages6
ISBN (Electronic)9781509032228
DOIs
Publication statusPublished - 2017
Externally publishedYes
Event4th RSI International Conference on Robotics and Mechatronics, ICRoM 2016 - Tehran, Iran, Islamic Republic of
Duration: 26 Oct 201628 Oct 2016

Publication series

Name4th RSI International Conference on Robotics and Mechatronics, ICRoM 2016

Conference

Conference4th RSI International Conference on Robotics and Mechatronics, ICRoM 2016
Country/TerritoryIran, Islamic Republic of
CityTehran
Period26/10/1628/10/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

  • Cable Robot
  • Dynamic Analysis
  • Multisensor Data Fusion
  • Parallel Manipulator

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