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.

Highlights

  • While basic machine tool errors form one of the major sources of inaccuracy in multi-axis machining, achieving high precision in actual machine tool performance critically depends upon dynamic performance of the individual axis controllers [1]

  • 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

  • Adaptive fuzzy sliding controller with dynamic compensation is the core of the multi-axis CNC system

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Summary

Introduction

While basic machine tool errors form one of the major sources of inaccuracy in multi-axis machining, achieving high precision in actual machine tool performance critically depends upon dynamic performance of the individual axis controllers [1]. It would be difficult to eliminate tracking errors while tracking the axial position command, which contributes to contour error formation. This situation would be especially problematic on the conditions of continuous processing of the multi-axis machining. Since it is difficult to establish an accurate dynamic model of the multi-axis machine tools, here, a novel adaptive fuzzy sliding model controller with dynamic compensation is proposed. The advantages of this model include its capacity to reduce tracking error, contour error and improve multi-axis machining precision

Adaptive Fuzzy Sliding Controller with
Dynamic Compensation
Deadzone of Tracking Error
Adaptive Fuzzy Sliding
Experiment
Experimental Parameters
Experiment Results
Conclusions
Full Text
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