A novel variable structure based adaptive control with disturbance estimation

Akin Delibasi, I. B. Kucukdemiral, G. Cansever

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

2 Citations (Scopus)

Abstract

A novel, improved adaptive control methodology equipped with variable structure controller which utilizes the disturbance estimate is proposed for the control of robot manipulators. The main property of the method is that, it does not requires for any information about the disturbances that act on the system such as bounds or limits. On the other hand, the proposed control method eliminates the drawbacks of the classical adaptive controllers such as poor transient responses and poor disturbance rejection capabilities by online disturbance estimation subsystem. Simulation results on an anthropomorphic robot manipulator which is assumed to have nine unknown parameters demonstrate that, the proposed control system can achieve favorable tracking and high disturbance rejection performance when compared with its counterparts
Original languageEnglish
Title of host publication2006 American Control Conference
PublisherIEEE
Number of pages6
ISBN (Electronic)1424402107
ISBN (Print)1424402093
DOIs
Publication statusPublished - 24 Jul 2006
Event2006 American Control Conference - Hilton Minneapolis , Minneapolis, MN, United States
Duration: 14 Jun 200616 Jun 2006
Conference number: 25

Conference

Conference2006 American Control Conference
Abbreviated titleACC 2006
Country/TerritoryUnited States
CityMinneapolis, MN
Period14/06/0616/06/06

Keywords

  • adaptive control
  • compensation
  • control system synthesis
  • manipulator dynamics
  • transient response
  • variable structure systems
  • variable structure control
  • disturbance estimation
  • disturbance rejection
  • anthropomorphic robot manipulator
  • sliding mode control
  • robots
  • Manipulator dynamics
  • control systems
  • llnear feedback control systems
  • nonlinear control systems
  • programmable control
  • torque control
  • fuzzy systems

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