The evaluation of a novel force feedback interventional surgery robotic system

Shuxiang Guo, Weili Peng, Nan Xiao*, Yuan Wang, Changqi Xu, Guangxuan Li

*Corresponding author for this work

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

7 Citations (Scopus)

Abstract

The interventional therapy is a kind of minimally invasive treatment. Under the guidance of medical imaging equipment, surgeons take the special catheter, guide wire and other precision instruments import in the body to do the pathological diagnosis and local treatment. The characters of interventional therapy are no operation, small trauma, rapid recovery, etc. However, the interventional treatment has some shortage such as hard to measure the front collision force of the guide wire, and the harm of the X-rays to surgeon. Above those shortages, this paper use the phantom desktop as the master controller, and design a new novel of interventional operation slave system which has force feedback structures. Besides according to the master-slave motion results, the paper has done the system identification. Then the system uses MRAC fuzzy PID looped control. Finally, this paper analyses the dynamic performance of the surgery robot system and makes a comparison between the simulation and the real results.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages43-49
Number of pages7
ISBN (Electronic)9781509023943
DOIs
Publication statusPublished - 1 Sept 2016
Event13th IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2016 - Harbin, Heilongjiang, China
Duration: 7 Aug 201610 Aug 2016

Publication series

Name2016 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2016

Conference

Conference13th IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2016
Country/TerritoryChina
CityHarbin, Heilongjiang
Period7/08/1610/08/16

Keywords

  • Force feedback
  • Fuzzy PID
  • Master-slave system
  • Minimally invasive interventional surgery
  • System identification

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