Backstepping and self-organizing fuzzy control hybridized for linear motor single-axis robots

Kou Cheng Hsu, Hsin Han Chiang, Lian Wang Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes an adaptive motion control system for a linear motor single-axis robot, which is mainly composed of a linear induction motor (LIM). On the basis of indirect field-oriented control mechanism, the dynamics of linear motor robot is investigated for considering the time-varying uncertainties that exist in the LIM drive. Next, a backstepping controller is designed for the objective of tracking periodic reference trajectories. To relax the prior knowing of the system uncertainties which are lumped by a conservative constant, a self-organizing fuzzy controller is hybridized into the backstepping controller so that the lumped uncertainties can be confronted in practical applications. The experimental results including good tracking performance against uncertainties can verify the effectiveness of the proposed control scheme.

Original languageEnglish
Title of host publication2015 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479918515
DOIs
Publication statusPublished - 2015
Externally publishedYes
EventInternational Conference on Advanced Robotics and Intelligent Systems, ARIS 2015 - Taipei, Taiwan
Duration: 2015 May 292015 May 31

Publication series

Name2015 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2015

Conference

ConferenceInternational Conference on Advanced Robotics and Intelligent Systems, ARIS 2015
Country/TerritoryTaiwan
CityTaipei
Period2015/05/292015/05/31

Keywords

  • Automation
  • Backstepping
  • Linear motor
  • Motion control
  • Self-organizing fuzzy control

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering

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