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A parallel controller design and simulation for industry robot

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

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

Abstract

A parallel controller was designed in order to realize an industry robot steady control performance. On the base of robust backstepping technique, a method for parallel control of robust backstepping and CMAC neural network was proposed for industry robot. It consisted of a robust controller designed through backstepping method and a CMAC controller. The backstepping controller was designed through robot model. However, there were parameters uncertainties and disturbance in the system. The backstepping controller can overcome the plant uncertainties and ensure the robust stability of system. And in order to assure the performance of system, a CMAC neural network is used to offset the disturbance and perturbation and improve the tracking precision. Simulation experiment shown that the method could give a good performance, even though there were disturbance and perturbation.

Original languageEnglish
Title of host publication2008 Asia Simulation Conference - 7th International Conference on System Simulation and Scientific Computing, ICSC 2008
Pages936-939
Number of pages4
DOIs
StatePublished - 2008
Event2008 Asia Simulation Conference - 7th International Conference on System Simulation and Scientific Computing, ICSC 2008 - Beijing, China
Duration: 10 Oct 200812 Oct 2008

Publication series

Name2008 Asia Simulation Conference - 7th International Conference on System Simulation and Scientific Computing, ICSC 2008

Conference

Conference2008 Asia Simulation Conference - 7th International Conference on System Simulation and Scientific Computing, ICSC 2008
Country/TerritoryChina
CityBeijing
Period10/10/0812/10/08

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