Indirect adaptive fuzzy controller design for vertical direct-driven servo system

Xing Xu*, Tao Cai, Guanghui Wang, Zhishu Xu

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

In order to deal with the uncertainties and nonlinearities within a permanent magnet line synchronous motor (PMLSM) vertical servo system, such as friction, thrust ripple and external disturbance, an indirect adaptive fuzzy (IAF) controller designed. The IAF controller comprises a supervisory controller and an equivalent controller. The supervisory controller is proved to guarantee the tracking error asymptotically stable without any requirement on the optimal approximation error (OAE). Simulation illustrate that the IAF controller can make the servo system track the reference signal accurately and has good robustness.

Original languageEnglish
Title of host publicationWCICA 2012 - Proceedings of the 10th World Congress on Intelligent Control and Automation
Pages1953-1957
Number of pages5
DOIs
Publication statusPublished - 2012
Event10th World Congress on Intelligent Control and Automation, WCICA 2012 - Beijing, China
Duration: 6 Jul 20128 Jul 2012

Publication series

NameProceedings of the World Congress on Intelligent Control and Automation (WCICA)

Conference

Conference10th World Congress on Intelligent Control and Automation, WCICA 2012
Country/TerritoryChina
CityBeijing
Period6/07/128/07/12

Keywords

  • adaptive
  • fuzzy control
  • servo system
  • vertical direct-driven

Fingerprint

Dive into the research topics of 'Indirect adaptive fuzzy controller design for vertical direct-driven servo system'. Together they form a unique fingerprint.

Cite this