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Neural network compensation method for path tracking control of a spherical mobile robot

  • Yao Cai*
  • , Feng Gao
  • , Ze Ning Liu
  • *Corresponding author for this work
  • Beihang University

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

Abstract

This paper presents a neural network compensation strategy for the path tracking control of a spherical mobile robot BHQ-2 including a pendulum with two degrees of freedom. Based on our previous work, we propose a simplified method to decompose the dynamics model of BHQ-2 to be two sub-dynamics models. Applying the fuzzy guidance control method and a neural network compensation strategy, a path tracking controller for robot BHQ-2 is designed.

Original languageEnglish
Title of host publicationAdvanced Design and Manufacturing Technology IV
EditorsJianzhong Lin, Tianhong Yan, Xinsheng Xu, Zhengyi Jiang
PublisherTrans Tech Publications Ltd
Pages1325-1328
Number of pages4
ISBN (Electronic)9783038352570
DOIs
StatePublished - 2014
Event4th International Conference on Advanced Design and Manufacturing Engineering, ADME 2014 - Hangzhou, China
Duration: 26 Jul 201427 Jul 2014

Publication series

NameApplied Mechanics and Materials
Volume635-637
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

Conference4th International Conference on Advanced Design and Manufacturing Engineering, ADME 2014
Country/TerritoryChina
CityHangzhou
Period26/07/1427/07/14

Keywords

  • Neural network
  • Path tracking
  • Spherical mobile robot

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