• 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