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R. L. Gai, H. Lin, X. P. Qin, D. Yu, and R. F. Guo, “Adaptive fuzzy sliding control design for the axis system with dynamic multiple kinds of nonlinearities and uncer-tainties,” Proceedings of the 38th International Confer-ence on Computers and Industrial Engineering. Vol. 3, pp. 3006–3011, 2008.

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.