基于迭代学习控制的电液机床工作台控制方法研究

Research on the Control Method of Electro-Hydraulic Machine Table Based on Iterative Learning Control

鉴于传统机床加工零件时工作台进给动作具有重复运动的特点,该文为了实现工作台高精度位置伺服控制,提出了一种基于迭代学习控制算法,用于解决机床工作台位置控制误差。首先,以组合数控机床为研究对象,介绍并建立数控机床工作台位置伺服系统数学模型;然后针对工作台位置伺服系统设计迭代学习控制算法框架;最后搭建数控机床工作台位置伺服实验平台,用不同控制信号对迭代学习控制算法和传统的PID算法进行对比实验。实验结果显示,基于迭代学习控制算法有效地降低了机床工作台控制误差,为数控机床高精度进给运动提供参考。

In order to realize high precision position servo control of worktable,an iterative learning control algorithm is proposed to solve the position control error of worktable.First of all,taking the combined CNC machine tool as the research object,this paper introduces and establishes the mathematical model of the table position servo system of the CNC machine tool;then,it designs the iterative learning control algorithm framework for the table position servo system of the CNC machine tool;finally,it builds the table position servo experimental platform of the CNC machine tool,and compares the iterative learning control algorithm and the traditional PID algorithm with different control signals.The experimental results show that the iterative learning control algorithm can effectively reduce the control error of the machine table,and provide a reference for the high-precision feed motion of CNC machine tools.