Abstract
In this article, a robust nonlinear friction control strategy is developed using friction observer and recurrent fuzzy neural network. The adaptive dynamic friction observer based on the LuGre friction model is proposed to estimates the friction parameters and a directly immeasurable friction state variable. A RFNN approximator and reconstructed error compensator is also designed to give additional robustness to the control system due to the presence of the friction model uncertainty. A proposed composite control scheme with basic basckstepping controller is applied to the position tracking control of the servo mechanical system.
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Canudas de Wit, C., Olsson, H., Astrom, K., Lischinsky, P.: A new model for control of systems with friction. IEEE Trans. Automat. Control 40, 419–425 (1995)
Al-Bender, F., Lampaert, V., Swever, J.: The generalized Maxwell-slip model: a novel model for friction simulation and compensation. IEEE Trans. Automat. Control 50, 1883–1887 (2005)
Leu, Y.G., Lee, T.T., Wang, W.Y.: Online turning of fuzzy neural network for adaptive control of nonlinear dynamical systems. IEEE Trans. Syst., Man, Cybern. 27, 1034–1043 (1997)
Lin, F.J., Hwang, W.J., Wai, R.J.: A supervisory fuzzy neural network control system for tracking periodic inputs. IEEE Trans. Fuzzy Syst. 7, 41–52 (1997)
Lin, F.J., Wai, R.J.: Robust recurrent fuzzy neural network control for linear synchronous motor drive system. Neurocomputing 50, 365–390 (2003)
Lin, C.H.: Adaptive recurrent fuzzy neural network control for synchronous reluctance motor servo drive. IEE Proc. Electr. Power Appl. 151, 711–724 (2004)
Narendra, K.S., Annaswamy, A.M.: Stable adaptive systems. Prentice-Hall, Englewood Cliffs (1989)
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© 2009 Springer-Verlag Berlin Heidelberg
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Han, S.I., Jeong, C.S., Park, S.H., Jeong, Y.M., Lee, C.D., Yang, S.Y. (2009). Intelligent Nonlinear Friction Compensation Using Friction Observer and Backstepping Control. In: Huang, DS., Jo, KH., Lee, HH., Kang, HJ., Bevilacqua, V. (eds) Emerging Intelligent Computing Technology and Applications. ICIC 2009. Lecture Notes in Computer Science, vol 5754. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04070-2_88
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DOI: https://doi.org/10.1007/978-3-642-04070-2_88
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04069-6
Online ISBN: 978-3-642-04070-2
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