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Neural networks control of a nonholonomic mobile robot with deadzone compensation

  • Kai Wang*
  • , Yingmin Jia
  • , Junping Du
  • , Fashan Yu
  • *Corresponding author for this work
  • Beihang University
  • Beijing University of Posts and Telecommunications
  • Henan Polytechnic University

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

Abstract

This paper presents a control structure designed by backstepping method for nonholonomic mobile robots with deadzone compensation scheme. The backstepping controller makes integration of a kinematic controller and a torque controller without the perfect velocity tracking assumption. The deadzone precompensator using two neural networks(NNs),one to estimate the unknown deadzone and the other to provide adaptive compensation for general nonlinear actuator deadzones of unknown width. And a novel neural network structure is presented for approximation of piecewise continuous functions of the sort that appear in deadzone. The neural precompensator is employed to improve the performance of the backstepping controller. Stability analysis and convergence of tracking errors to zero as well as the learning algorithms for weights are guaranteed with basis on Lyapunov method. Simulations results are provided to show the effectiveness of the proposed approach.

Original languageEnglish
Title of host publicationProceedings of the 30th Chinese Control Conference, CCC 2011
Pages2792-2797
Number of pages6
StatePublished - 2011
Event30th Chinese Control Conference, CCC 2011 - Yantai, China
Duration: 22 Jul 201124 Jul 2011

Publication series

NameProceedings of the 30th Chinese Control Conference, CCC 2011

Conference

Conference30th Chinese Control Conference, CCC 2011
Country/TerritoryChina
CityYantai
Period22/07/1124/07/11

Keywords

  • Backstepping control
  • Deadzone compensation
  • Lyapunov stability
  • Mobile robots
  • Neural networks
  • Nonholonomic systems

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