数控系统被控对象的模型辨识

提出了一种数控系统被控对象模型的辨识方法。以计算机自动生成的M序列为输入信息,采样获取系统的输出信息,通过最小二乘法获取闭环系统的模型,从求得的闭环系统模型再经推演最终获得被控对象模型。经实际验证,这种不改变原有系统、不添加任何硬件的系统模型辨识方法行之有效,它为数控系统的自动调节,提高系统动态特性的研究奠定了基础。

Model Identification of Controlled Object in NC Systems

In this paper the method to identify the controlled object in the NC system is proposed. Stimulating the NC system with the M-sequence signal produced by computer and sampling its output data, this method identifies the model of the closed-loop system with the Least Square Estimation. Making use of this closed-loop system's model, the model of the controlled object can be got at the end. Test done shows the usability of this method which needs no additional hardware. It may be helpful to the automatic adjustment and making the NC system's dynamic characters better.