An improved adaptive controller with parameter optimization by GA for an omni-directional walker

Renpeng Tan, Kenji Ishida, Shuoyu Wang, Yinlai Jiang, Yo Kobayashi, Masakatsu G. Fujie

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

1 Citation (Scopus)

Abstract

An omni-directional walker (ODW) has been developed for walking rehabilitation for people with walking disabilities. In re habilitation, a user needs to accurately follow the reference path stored in the ODW in order to obtain good training effect. In order to improve the path tracking accuracy, a nonlinear adaptive controller was developed in pervious studies, to deal with load change and center of gravity shift caused by the user. The path tracking accuracy can be improved by adjust the parameter of the adaptive controller. In this paper, genetic algorithm is used to automatically and quickly optimize the parameters of adaptive controller. Simulation was conducted, in which the ODW was controlled to follow a linear path. The results were shown that the parameter optimization strategy is effective to quickly find the optimal parameter.

Original languageEnglish
Title of host publication6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012
Pages1211-1214
Number of pages4
DOIs
Publication statusPublished - 2012
Event2012 Joint 6th International Conference on Soft Computing and Intelligent Systems, SCIS 2012 and 13th International Symposium on Advanced Intelligence Systems, ISIS 2012 - Kobe
Duration: 2012 Nov 202012 Nov 24

Other

Other2012 Joint 6th International Conference on Soft Computing and Intelligent Systems, SCIS 2012 and 13th International Symposium on Advanced Intelligence Systems, ISIS 2012
CityKobe
Period12/11/2012/11/24

Keywords

  • genetic algorithm
  • omni-directional walker (ODW)
  • parameter optimization
  • walker

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software

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