Abstract:

In order to meet the higher index requirements of high-speed and high-precision processing technology and overcome the limitations of the current control methods to the position servo control of numerical control system,a control method of GPC based on fuzzy deduction was presented herein.
The model structure and model parameters of the servo control system were identified by using the mesh search algorithm and recursive least squares method.GPC was as the controller of the position servo system,and the offset between the feedback position and the predictive position was made the online
nonlinear correction by fuzzy deduction,which conquered the defect of GPC.The simulation and experimental results show that the proposed control method has very good performance and robustness.
Therefore,a new control method is provided for the position servo control system of high-speed and high-precision CNC machine tools.

Key words: position control, position tracking, generalized predictive control(GPC);fuzzy deduction, numerical control system

摘要：

针对高速高精度加工技术对数控位置伺服系统的控制性能提出的更高要求以及现行位置伺服控制方法存在不足的问题,提出了一种基于模糊推理的广义预测控制方法。首先采用网格搜索算法和递推最小二乘法相结合的思想对伺服控制系统的模型结构和模型参数进行辨识;然后将广义预测控制方法作为数控位置伺服系统的控制策略,运用模糊逻辑推理对反馈偏差进行非线性在线校正，克服了传统的广义预测控制对CARIMA模型进行线性控制的缺点;最后通过MATLAB仿真和施耐德十字平台实验验证了该方法具有很好的控制性能和鲁棒性。该方法为高速高精度数控机床的位置伺服控制系统提供了一种新的思路。
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关键词: 位置控制, 位置跟踪, 广义预测控制, 模糊推理, 数控系统