DocumentCode :
3075578
Title :
Neuro-sliding mode multivariable control of a powered wheelchair
Author :
Nguyen, Nghia ; Nguyen, Hung T. ; Su, Steven
Author_Institution :
Faculty of Engineering, University of Technology, Sydney, Broadway, NSW 2007, Australia
fYear :
2008
fDate :
20-25 Aug. 2008
Firstpage :
3471
Lastpage :
3474
Abstract :
This paper proposes a neuro-sliding mode multivariable control approach for the control of a powered wheelchair system. In the first stage, a systematic decoupling technique is applied to the wheelchair system in order to reduce the multivariable control problem into two independent scalar control problems. Then two Neuro-Sliding Mode Controllers (NSMCs) are designed for these independent subsystems to guarantee system robustness under model uncertainties and unknown external disturbances. Both off-line and on-line trainings are involved in the second stage. Real-time experimental results confirm that robust performance for this multivariable wheelchair control system under model uncertainties and unknown external disturbances can indeed be achieved.
Keywords :
Australia; Control design; Control system synthesis; Control systems; Nonlinear control systems; Power system modeling; Robust control; Sliding mode control; Uncertainty; Wheelchairs; Algorithms; Computer Simulation; Electric Stimulation; Equipment Design; Feedback; Humans; Models, Statistical; Movement; Neural Networks (Computer); Neurons; Paraplegia; Time Factors; Wheelchairs;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location :
Vancouver, BC
ISSN :
1557-170X
Print_ISBN :
978-1-4244-1814-5
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2008.4649953
Filename :
4649953
Link To Document :
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