Feedback Control of Cable-Driven Continuum Robot based on flexible perception

Shuwen Qian, Tianjiang Zheng, Wenjun Shen, Haotian Bai

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

Abstract

Aiming at problems of the limited accuracy of the model and poor control precision caused by the complex deformation of Cable-Driven Continuum Robot(CDCR), a shape sensing and feedback control approach for CDCR is proposed based on the elastic magnetoelectric strain sensor. The kinematic model of CDCR was established based on the product of the exponential (POE) formula. Based on the sensor's physical characteristics, the robot's shape-sensing model was proposed and Qualisys Track System was used for calibration. A module prototype was built to verify the effect of the perceptual feedback control algorithm. The experiment proved that the flexible perception method used in this paper is universal and accurate, and provides a valuable framework for real-time sensing control.

Original languageEnglish
Title of host publicationProceedings - 2023 2nd International Symposium on Control Engineering and Robotics, ISCER 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages64-69
Number of pages6
ISBN (Electronic)9798350336405
DOIs
Publication statusPublished - Feb 2023
Event2nd International Symposium on Control Engineering and Robotics, ISCER 2023 - Virtual, Online, China
Duration: 17 Feb 202319 Feb 2023

Publication series

NameProceedings - 2023 2nd International Symposium on Control Engineering and Robotics, ISCER 2023

Conference

Conference2nd International Symposium on Control Engineering and Robotics, ISCER 2023
Country/TerritoryChina
CityVirtual, Online
Period17/02/2319/02/23

Keywords

  • Cable-Driven Continuum Robot
  • feedback control
  • flexible perception
  • shape-sensing model

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering
  • Control and Optimization
  • Sensory Systems

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