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Adaptive fuzzy control of a wheeled mobile robot

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The objective of this paper was to investigate the possibility of using neuro-fuzzy algorithms in the real-time follower control system of a wheeled mobile robot in the presence of variable basic conditions of work and their assessment of the quality of control. For this purpose the intelligent servo motion controller was developed based on neural networks and fuzzy logic systems whose the task is to compensate the non-linearity and uncertain modeling of the mobile robot's traffic. This system has been designed in such a way as to allow for modification of its properties at any moment due to the changing working conditions of the mobile robot. The object of control is a two-wheeled mobile robot.
Rocznik
Strony
827--835
Opis fizyczny
Bibliogr. 9 poz., wykr.
Twórcy
autor
  • Rzeszów University of Technology 8 Powstancow Warszawy St., 35-959 Rzeszow, POLAND, zenhen@prz.edu.pl
Bibliografia
  • Chen S. and Billings A. (1992): Neural networks for nonlinear dynamic system modeling and identification. - Int. J. Control, vol.56, No.2, pp.319-346.
  • Giergiel J., Hendzel Z. and Zylski W. (2002): Modelling and control of wheeled mobile robots. (in Polish) - Warsaw: PWN.
  • Giergiel J. and Zylski W. (2005): Description of motion of a mobile robot by Maggie's equations. - J. of Theoretical and Applied Mechanics, vol.43, pp.511-521.
  • Hendzel Z. (1997): Robust tracking control of wheeled mobile robot. - Archive of Mechanical Engineering, vol. XLIV, No.1, pp.43.
  • Hendzel Z., Wereszczak M. (Muszyńska) (2008): Fuzzy-neural control algorithm of wheeled mobile robot. - (in Polish) - Warsaw: Electronics, No.166, pp.463-472.
  • Hendzel Z. and Żylski W. (1998): Dynamics and robust control of wheeled mobile robot. - Proceedings of 3-rd IFAC Symposium on Intelligent Autonomous Vehicles, Madrid, Spain, vol.2, pp.465-470.
  • Hornik K., Stinchcombe M. and White H. (1989): Multilayer feedforward networks are universal approximations. - Neural Networks, vol.2, pp.359-366.
  • Ortega R. and Spong M.W. (1989): Adaptive motion control of rigid robots: a tutorial. - Automatica, vol.25, No.6, pp.877-888.
  • Żylski W. (1996): Kinematics and dynamics of wheeled mobile robots. (in Polish) - Rzeszow: Rzeszow University of Technology.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPZ5-0027-0032
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