基于模糊神经融合的超精密机床振动主动控制

Active Vibration Control Based on Fuzzy Neural Fusion for Ultra-precision Turning Machine

提出基于模糊神经融合的自适应模糊分散控制系统 ,以对超精密机床进行振动主动控制 ,该控制系统在自适应模糊逻辑的基础上融合了学习过程模糊调整 ,因而同时具有模糊逻辑和神经网络的优点。实验结果表明 ,该控制系统能有效地隔离来自基础的低频振动 ,改善了超精密机床的加工精度和表面粗糙度。

In this paper, an adaptive fuzzy separated control system based on fuzzy neural fusion is proposed to prevent the bed vibration from the disturbances which come from the ground for the ultra-precision turning machine. Because of connecting fuzzy adjustment for the learning process, this adaptive control system has merits owing to both fuzzy logic and neural network. The mathematical modeling for the complex machine system can be avoided by this kind of control system, while separate control may avoid the uncoupling of system. The experimental results show that the control system can effectively isolate low-frequency vibration coming from the environment.Moreover, the machining accuracy and surface roughness are all improved.