基于神经网络参考模型自适应控制在数控机床中的应用研究  

Based on Neural Network Reference Model Adaptive Control in Numerically-controlled Machine Tool Server's Applied Research

作　　者：张建国[1] 

机构地区：[1]漳州职业技术学院电子工程系,福建漳州363000

出　　处：《机电产品开发与创新》2010年第6期165-167,共3页Development & Innovation of Machinery & Electrical Products

摘　　要：提出一种采用神经网络参考模型自适应控制在数控机床伺服系统的应用方案,实现数控机床伺服系统的自适应控制,使系统具有更强的鲁棒性和容错性。使数控机床实现了快速、精密的位置控制。仿真结果表明,该系统具有较好的鲁棒性和抗干扰性及跟踪性能。Proposed that one kind uses the neural network reference model adaptive control in the numerically-controlled machine tool server＇s application plan,realizes the numerically-controlled machine tool server＇s adaptive control,enables the system to have a stronger robustness and the fault tolerance.Caused the numerically-controlled machine tool to realize fast,the precise position control.The simulation result indicated that this system has the good robustness and the anti-jamming and the track performance.

关 键 词：神经网络 参考模型自适应 数控机床 位置伺服 

分 类 号：TP393.09[自动化与计算机技术—计算机应用技术]