A fuzzy PID control algorithm for the interventional surgical robot with guide wire feedback force

Shuxiang Guo, Qianrui Chen, Nan Xiao*, Yuan Wang

*Corresponding author for this work

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

4 Citations (Scopus)

Abstract

During cardiovascular and cerebrovascular interventional surgical procedure, the accuracy of guide wire advance is particularly important for the success rate and safety of surgery, a single PID controller can't adapt to the complex surgical situations, the performance of the system has much room for improvement. In this paper, a fuzzy PID control algorithm with guide wire feedback force was proposed. According to the various situations in surgical procedures, multiple PID controller were designed correspondingly. In the actual surgical procedure, according to the different feedback-force of guide wire, the controller switches between different sets of PID controllers in real time to achieve more excellent performance respectively under different circumstances. Experimental results show that the fuzzy PID controller with guide wire feedback force achieves more excellent performance than the classical PID controller. And the dynamic performance of master-slave control system is better, the following error is reduced, overshoot decreases, and surgical safety greatly increased.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages426-430
Number of pages5
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

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