活塞数控加工的预期迭代学习控制研究

Piston Digital Controlled Manufacture Based on Iterative Learning Control with Anyicipation Control

在高速精密非圆加工中,伺服刀架系统的幅值衰减产生较大的刀具轨迹跟踪误差,从而降低加工精度。针对活塞外圆数控加工数据控制,设计了一种预期迭代学习控制方法。推导该控制算法在频域下的收敛条件,经仿真实验验证,这种控制方法运用于活塞外圆加工中可以取得良好的控制效果。

Because of gain attenuation of the high speed precision servo system,large tool tracking error will be produced and machining accuracy required will be lost during high speed and fine turning of noncircular components.Anyicipation learning control method based on iterative learning control is design for Piston Digital Controlled Manufacture.the convergence condition in frequency domain is derived.The simulation results are presented to demonstrate the effectiveness of the proposed iterative learning control on Piston Digital Controlled Manufacture.