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Y. Zhang, F. Wang, T. Hesketh, D. J. Clements, R. Eaton, “Fault accommodation for nonlinear systems using fuzzy adaptive sliding control,” International Journal of Sys-tems Science, Vol. 36, No. 4, pp. 215–220, 2005.

has been cited by the following article:

• TITLE: Adaptive Fuzzy Sliding Controller with Dynamic Compensation for Multi-Axis Machining

  AUTHORS: Hu LIN, Rongli GAI

  KEYWORDS: Fuzzy Sliding Control, Adaptive, Compensation Control, Tracking Error

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.2 No.4, November 27, 2009

  ABSTRACT: The precision of multi-axis machining is deeply influenced by the tracking error of multi-axis control system. Since the multi-axis machine tools have nonlinear and time-varying behaviors, it is difficult to establish an accurate dynamic model for multi-axis control system design. In this paper, a novel adaptive fuzzy sliding model controller with dynamic compensation is proposed to reduce tracking error and to improve precision of multi-axis machining. The major ad-vantage of this approach is to achieve a high following speed without overshooting while maintaining a continuous CNC machine tool process. The adaptive fuzzy tuning rules are derived from a Lyapunov function to guarantee stability of the control system. The experimental results on GJ-110 show that the proposed control scheme effectively minimizes tracking errors of the CNC system with control performance surpassing that of a traditional PID controller.