一种用于优化切削参数的学习控制方法

本文提出一种新的优化切削参数的方法,该法基于随机自动机的原理,通过向实际的切削过程的学习而逐步得到最佳的切削参数。文中阐明了建立这种学习控制系统的过程,分析了影响学习过程的因素,并提出了加快学习速度的方法。计算机模拟表明了这种方法的可行性。

A Learning Controller for Optimizing Cutting Conditions

A learning controller for optimizing cutting parameters is described, which is based on the principle of stochastic automation. Simulation results show that the op-timumcontrol inputs (cutting speed and feedrate) can be obtained from the admissible con trol actions through several learning steps. The advantage of this strategy over the conventional optimization approach is its simplicity and suitability for automated manufacturing.The factors affecting the updating of learning are discussed and schemes for speeding up and improving the performance are proposed.