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 language | English |
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Title of host publication | 6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012 |
Pages | 1211-1214 |
Number of pages | 4 |
DOIs | |
Publication status | Published - 2012 |
Event | 2012 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 20 → 2012 Nov 24 |
Other
Other | 2012 Joint 6th International Conference on Soft Computing and Intelligent Systems, SCIS 2012 and 13th International Symposium on Advanced Intelligence Systems, ISIS 2012 |
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City | Kobe |
Period | 12/11/20 → 12/11/24 |
Keywords
- genetic algorithm
- omni-directional walker (ODW)
- parameter optimization
- walker
ASJC Scopus subject areas
- Artificial Intelligence
- Software