Research on servo turning table control method based on optimal fuzzy reasoning & disturbance observer

  • Youmin Liu*
  • , Yunjie Wu
  • , Dapeng Tian
  • *Corresponding author for this work

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

Abstract

In this paper, a novel servo turning table control method based on optimal fuzzy reasoning and disturbance observer (DOB) was studied. Optimal fuzzy reasoning contains thought of optimization and feedback, and a fuzzy-PID controller using optimal fuzzy reasoning can make the reasoning process more reasonable and enhance the robustness to some extent. However, when a large external disturbance exists or the parameters of plant change largely, the accuracy of the control system will be influenced. The DOB can compensate the disturbance torque including friction torque and has great effect on improvement of accuracy. To improve the accuracy of the control system, DOB was added into the control structure. Meanwhile, fuzzy controller also enhances the robustness and dynamic performance of the DOB. Simulation results for a servo turning table system showed the effectiveness of the control method.

Original languageEnglish
Title of host publication2010 International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2010
Pages171-174
Number of pages4
DOIs
StatePublished - 2010
EventInternational Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2010 - Changsha, China
Duration: 13 Mar 201014 Mar 2010

Publication series

Name2010 International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2010
Volume3

Conference

ConferenceInternational Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2010
Country/TerritoryChina
CityChangsha
Period13/03/1014/03/10

Keywords

  • Disturbance observer
  • Fuzzy-PID controller
  • Optimal fuzzy reasoning method
  • Servo turning table

Cite this