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

Hu LIN, Rongli GAI

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DOI: 10.4236/jsea.2009.24037                

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.

Keywords

Fuzzy Sliding Control, Adaptive, Compensation Control, Tracking Error

Conflicts of Interest

The authors declare no conflicts of interest.

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